NVIDIA Jetson Nano Super Orin Benchmarks
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: FileNotFoundError
Message: Couldn't find any data file at /src/services/worker/YuvrajSingh9886/bonsai-jetson-benchmark-maxn. Couldn't find 'YuvrajSingh9886/bonsai-jetson-benchmark-maxn' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/YuvrajSingh9886/bonsai-jetson-benchmark-maxn@1e83e9cd0b343e46979c4c8917d033ed540a3f26/data/results.parquet' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.ndjson', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.conll', '.conllu', '.tar', '.xml', '.hdf5', '.h5', '.eval', '.lance', '.tsfile', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.3gp', '.3g2', '.avi', '.asf', '.flv', '.mp4', '.mov', '.m4v', '.mkv', '.webm', '.f4v', '.wmv', '.wma', '.ogm', '.mxf', '.nut', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.3GP', '.3G2', '.AVI', '.ASF', '.FLV', '.MP4', '.MOV', '.M4V', '.MKV', '.WEBM', '.F4V', '.WMV', '.WMA', '.OGM', '.MXF', '.NUT', '.glb', '.ply', '.stl', '.GLB', '.PLY', '.STL', '.pdf', '.PDF', '.nii', '.NII', '.zip', '.idx', '.manifest', '.txn']
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1213, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find any data file at /src/services/worker/YuvrajSingh9886/bonsai-jetson-benchmark-maxn. Couldn't find 'YuvrajSingh9886/bonsai-jetson-benchmark-maxn' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/YuvrajSingh9886/bonsai-jetson-benchmark-maxn@1e83e9cd0b343e46979c4c8917d033ed540a3f26/data/results.parquet' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.ndjson', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.conll', '.conllu', '.tar', '.xml', '.hdf5', '.h5', '.eval', '.lance', '.tsfile', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.3gp', '.3g2', '.avi', '.asf', '.flv', '.mp4', '.mov', '.m4v', '.mkv', '.webm', '.f4v', '.wmv', '.wma', '.ogm', '.mxf', '.nut', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.3GP', '.3G2', '.AVI', '.ASF', '.FLV', '.MP4', '.MOV', '.M4V', '.MKV', '.WEBM', '.F4V', '.WMV', '.WMA', '.OGM', '.MXF', '.NUT', '.glb', '.ply', '.stl', '.GLB', '.PLY', '.STL', '.pdf', '.PDF', '.nii', '.NII', '.zip', '.idx', '.manifest', '.txn']Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Bonsai Jetson Benchmark — MAXN_SUPER
Platform: NVIDIA Jetson Orin Nano Super 8GB · Power mode: MAXN_SUPER Status: Complete — 57 combos
Bonsai All-Model Benchmark — Jetson Orin Nano Super 8GB — MAXN_SUPER
Date: 2026-05-27 00:02
Backend: llama.cpp (build-jetson) / CUDA / -ngl 99
Platform: NVIDIA Jetson Orin Nano Super 8GB (6-core Cortex-A78AE + Ampere GPU)
Sweep: prompt ∈ {256, 512, 1024, 2048} tok × gen ∈ {128, 256, 512} tok × 20 reqs/combo
Key metric: tok/J = output tokens per second ÷ VDD_CPU_GPU_CV power (watts)
Skipped / OOM Models
- Ternary-Bonsai-8B (Q2_0): NvMap ENOMEM — CUDA alloc failed at model load
Full Results Table
Cells marked — = OOM (server crashed or skipped due to context window limit).
Power = VDD_CPU_GPU_CV average over aiperf run window (CPU+GPU+CV rail, milliwatts → watts).
| Model | Quant | ISL (tok) | OSL (tok) | OSL mismatch (%) | TTFT avg (ms) | TTFT p50 | TTFT p90 | TTFT p99 | T2T avg (ms) | T2T p50 | T2T p90 | T2T p99 | ITL avg (ms) | ITL p50 | ITL p90 | ITL p99 | Tok/s (server) | Req/s | E2E tok/s avg | E2E p50 | E2E p90 | E2E p99 | Req lat avg (ms) | Req lat p50 | Req lat p90 | Req lat p99 | Prefill tok/s avg | Prefill p50 | Prefill p90 | Prefill p99 | Power (W) | Tok/J |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bonsai-1.7B | Q1_0 | 256.0 | 127.9 | -0.08 | 189.8 | 189.1 | 190.2 | 196.5 | 37.8 | 38.0 | 38.4 | 38.7 | 35.68 | 35.67 | 35.71 | 36.12 | 27.08 | 0.212 | 27.11 | 27.12 | 27.19 | 27.19 | 4717.7 | 4719.7 | 4725.6 | 4727.5 | 1349.1 | 1353.6 | 1355.7 | 1358.2 | 5.47 | 4.948 |
| Bonsai-1.7B | Q1_0 | 512.0 | 127.9 | -0.08 | 339.1 | 336.0 | 338.0 | 382.6 | 38.5 | 38.4 | 39.0 | 39.2 | 36.13 | 36.10 | 36.23 | 36.43 | 25.95 | 0.203 | 25.97 | 26.01 | 26.03 | 26.03 | 4924.6 | 4920.3 | 4929.8 | 4972.0 | 1511.6 | 1523.7 | 1525.4 | 1525.6 | 5.63 | 4.611 |
| Bonsai-1.7B | Q1_0 | 1024.0 | 127.8 | -0.20 | 628.0 | 627.4 | 628.0 | 638.2 | 39.1 | 39.1 | 39.3 | 40.0 | 36.83 | 36.77 | 37.03 | 37.29 | 24.10 | 0.189 | 24.12 | 24.16 | 24.20 | 24.21 | 5296.2 | 5295.2 | 5303.9 | 5317.6 | 1630.5 | 1632.2 | 1633.8 | 1634.9 | 5.97 | 4.039 |
| Bonsai-1.7B | Q1_0 | 2048.0 | 126.7 | -1.02 | 1235.8 | 1235.6 | 1237.1 | 1241.3 | 40.4 | 40.5 | 40.5 | 40.6 | 38.22 | 38.17 | 38.45 | 38.50 | 20.95 | 0.165 | 20.97 | 21.04 | 21.05 | 21.05 | 6039.8 | 6082.7 | 6088.5 | 6090.1 | 1657.2 | 1657.5 | 1659.3 | 1660.6 | 6.48 | 3.235 |
| Bonsai-1.7B | Q1_0 | 256.0 | 249.1 | -2.71 | 190.1 | 189.3 | 191.8 | 199.1 | 38.0 | 38.0 | 38.1 | 38.6 | 35.68 | 35.66 | 35.83 | 35.90 | 27.52 | 0.111 | 27.54 | 27.57 | 27.63 | 27.69 | 9041.0 | 9283.0 | 9304.7 | 9335.1 | 1346.6 | 1352.5 | 1356.1 | 1357.9 | 5.53 | 4.973 |
| Bonsai-1.7B | Q1_0 | 512.0 | 255.4 | -0.23 | 336.3 | 336.0 | 336.3 | 343.8 | 38.6 | 38.5 | 39.2 | 39.4 | 36.21 | 36.13 | 36.27 | 36.85 | 26.73 | 0.105 | 26.75 | 26.81 | 26.82 | 26.90 | 9546.8 | 9547.0 | 9549.7 | 9550.7 | 1522.4 | 1523.8 | 1526.7 | 1527.2 | 5.52 | 4.842 |
| Bonsai-1.7B | Q1_0 | 1024.0 | 255.8 | -0.08 | 627.7 | 627.5 | 628.1 | 632.5 | 39.2 | 39.2 | 39.4 | 39.4 | 36.86 | 36.83 | 36.85 | 37.32 | 25.52 | 0.100 | 25.53 | 25.55 | 25.56 | 25.57 | 10018.6 | 10017.7 | 10023.4 | 10026.2 | 1631.2 | 1632.0 | 1633.4 | 1634.7 | 5.70 | 4.476 |
| Bonsai-1.7B | Q1_0 | 2048.0 | 255.9 | -0.04 | 1236.2 | 1235.3 | 1238.7 | 1246.4 | 40.4 | 40.5 | 40.6 | 40.6 | 38.22 | 38.21 | 38.24 | 38.38 | 23.29 | 0.091 | 23.31 | 23.32 | 23.32 | 23.36 | 10979.4 | 10979.1 | 10984.8 | 10994.1 | 1656.6 | 1657.9 | 1659.3 | 1660.3 | 6.06 | 3.846 |
| Bonsai-1.7B | Q1_0 | 256.0 | 510.9 | -0.21 | 189.7 | 189.1 | 190.2 | 195.4 | 38.1 | 38.0 | 38.7 | 38.7 | 35.87 | 35.89 | 35.97 | 36.10 | 27.63 | 0.054 | 27.64 | 27.64 | 27.69 | 27.84 | 18483.6 | 18523.9 | 18530.5 | 18534.8 | 1349.4 | 1353.8 | 1355.5 | 1356.8 | 5.39 | 5.127 |
| Bonsai-1.7B | Q1_0 | 512.0 | 511.4 | -0.12 | 336.0 | 335.6 | 336.5 | 341.2 | 38.3 | 38.4 | 38.5 | 38.5 | 36.27 | 36.23 | 36.33 | 36.62 | 27.12 | 0.053 | 27.13 | 27.16 | 27.17 | 27.17 | 18850.4 | 18849.7 | 18856.4 | 18857.5 | 1523.8 | 1525.7 | 1527.5 | 1527.7 | 5.44 | 4.986 |
| Bonsai-1.7B | Q1_0 | 1024.0 | 496.4 | -3.05 | 627.5 | 627.0 | 627.7 | 634.2 | 39.2 | 39.2 | 39.3 | 39.5 | 37.01 | 36.94 | 37.15 | 37.63 | 26.16 | 0.053 | 26.15 | 26.25 | 26.26 | 26.30 | 18966.1 | 19502.0 | 19513.5 | 19515.5 | 1631.9 | 1633.0 | 1634.3 | 1635.6 | 5.54 | 4.725 |
| Bonsai-1.7B | Q1_0 | 2048.0 | 499.2 | -2.50 | 1235.0 | 1234.5 | 1236.9 | 1239.5 | 40.4 | 40.4 | 40.5 | 41.1 | 38.36 | 38.31 | 38.52 | 38.56 | 24.52 | 0.049 | 24.53 | 24.57 | 24.59 | 24.59 | 20347.7 | 20348.1 | 20359.7 | 20361.7 | 1658.3 | 1659.0 | 1660.3 | 1660.8 | 5.77 | 4.251 |
| Bonsai-4B | Q1_0 | 256.0 | 127.8 | -0.20 | 422.8 | 420.7 | 421.1 | 455.7 | 67.1 | 68.3 | 68.5 | 69.0 | 65.29 | 65.17 | 65.67 | 66.54 | 14.68 | 0.115 | 14.69 | 14.72 | 14.72 | 14.72 | 8698.4 | 8697.3 | 8702.4 | 8708.7 | 605.8 | 608.6 | 609.2 | 609.5 | 6.22 | 2.360 |
| Bonsai-4B | Q1_0 | 512.0 | 127.9 | -0.08 | 753.9 | 753.4 | 754.4 | 759.6 | 68.5 | 68.7 | 68.9 | 69.5 | 65.65 | 65.59 | 65.70 | 66.17 | 14.07 | 0.110 | 14.08 | 14.09 | 14.10 | 14.10 | 9084.9 | 9084.1 | 9090.0 | 9096.1 | 679.2 | 679.6 | 680.0 | 680.3 | 6.40 | 2.198 |
| Bonsai-4B | Q1_0 | 1024.0 | 127.8 | -0.16 | 1435.1 | 1434.7 | 1435.3 | 1441.4 | 69.6 | 69.6 | 69.7 | 69.9 | 66.54 | 66.50 | 66.52 | 67.33 | 12.93 | 0.101 | 12.94 | 12.95 | 12.96 | 12.96 | 9872.8 | 9878.3 | 9882.4 | 9889.4 | 713.5 | 713.7 | 714.0 | 714.1 | 6.71 | 1.927 |
| Bonsai-4B | Q1_0 | 2048.0 | 127.9 | -0.08 | 2858.6 | 2858.6 | 2860.4 | 2863.5 | 71.2 | 71.3 | 71.4 | 71.6 | 68.23 | 68.22 | 68.25 | 68.26 | 11.09 | 0.087 | 11.11 | 11.11 | 11.11 | 11.11 | 11516.6 | 11522.5 | 11527.0 | 11532.3 | 716.4 | 716.4 | 717.1 | 717.2 | 7.29 | 1.522 |
| Bonsai-4B | Q1_0 | 256.0 | 256.0 | 0.00 | 421.0 | 420.7 | 421.0 | 425.8 | 68.3 | 68.3 | 68.4 | 68.5 | 65.23 | 65.23 | 65.30 | 65.47 | 15.00 | 0.059 | 15.01 | 15.01 | 15.01 | 15.10 | 17055.2 | 17053.9 | 17064.3 | 17073.0 | 608.1 | 608.5 | 608.9 | 609.1 | 6.14 | 2.442 |
| Bonsai-4B | Q1_0 | 512.0 | 255.9 | -0.02 | 754.0 | 753.6 | 754.4 | 759.1 | 68.9 | 68.8 | 69.0 | 69.5 | 65.68 | 65.67 | 65.70 | 65.89 | 14.62 | 0.057 | 14.63 | 14.63 | 14.63 | 14.64 | 17499.4 | 17499.7 | 17502.6 | 17513.2 | 679.1 | 679.4 | 679.7 | 680.1 | 6.22 | 2.349 |
| Bonsai-4B | Q1_0 | 1024.0 | 254.7 | -0.51 | 1435.4 | 1434.6 | 1438.9 | 1441.6 | 69.7 | 69.7 | 69.8 | 69.9 | 66.91 | 66.52 | 66.57 | 72.76 | 13.84 | 0.054 | 13.84 | 13.92 | 13.92 | 13.92 | 18402.1 | 18396.4 | 18410.0 | 18440.3 | 713.4 | 713.8 | 714.1 | 714.4 | 6.47 | 2.139 |
| Bonsai-4B | Q1_0 | 2048.0 | 255.8 | -0.08 | 2860.2 | 2859.9 | 2863.4 | 2866.2 | 71.3 | 71.4 | 71.4 | 71.6 | 68.38 | 68.33 | 68.58 | 68.60 | 12.61 | 0.049 | 12.61 | 12.62 | 12.62 | 12.63 | 20283.1 | 20281.7 | 20287.7 | 20321.3 | 716.0 | 716.1 | 716.8 | 717.1 | 6.85 | 1.840 |
| Bonsai-4B | Q1_0 | 256.0 | 512.0 | 0.00 | 421.2 | 420.9 | 421.4 | 426.4 | 68.3 | 68.3 | 68.4 | 69.0 | 65.44 | 65.44 | 65.45 | 65.62 | 15.12 | 0.030 | 15.12 | 15.12 | 15.12 | 15.15 | 33862.9 | 33860.2 | 33867.4 | 33902.3 | 607.8 | 608.2 | 608.8 | 609.1 | 6.10 | 2.479 |
| Bonsai-4B | Q1_0 | 512.0 | 511.6 | -0.08 | 754.0 | 753.6 | 754.3 | 759.8 | 68.8 | 68.8 | 69.0 | 69.5 | 65.94 | 65.92 | 65.99 | 66.24 | 14.86 | 0.029 | 14.86 | 14.87 | 14.88 | 14.88 | 34422.5 | 34416.8 | 34446.8 | 34462.1 | 679.0 | 679.4 | 679.8 | 679.9 | 6.17 | 2.408 |
| Bonsai-4B | Q1_0 | 1024.0 | 511.7 | -0.06 | 1435.6 | 1435.1 | 1436.5 | 1440.4 | 69.8 | 69.8 | 70.0 | 70.5 | 66.81 | 66.77 | 66.94 | 67.15 | 14.39 | 0.028 | 14.39 | 14.40 | 14.41 | 14.45 | 35553.7 | 35550.2 | 35570.9 | 35602.8 | 713.3 | 713.5 | 713.9 | 713.9 | 6.27 | 2.294 |
| Bonsai-4B | Q1_0 | 2048.0 | 499.7 | -2.40 | 2859.1 | 2858.6 | 2861.8 | 2867.1 | 71.4 | 71.3 | 72.1 | 72.3 | 68.50 | 68.46 | 68.62 | 68.70 | 13.49 | 0.027 | 13.50 | 13.51 | 13.51 | 13.52 | 37018.8 | 37017.9 | 37031.3 | 37042.2 | 716.3 | 716.4 | 716.9 | 717.4 | 6.51 | 2.074 |
| Bonsai-8B | Q1_0 | 256.0 | 128.0 | 0.00 | 743.8 | 696.9 | 744.2 | 1364.1 | 60.2 | 61.7 | 61.8 | 61.9 | 58.56 | 58.57 | 58.58 | 58.59 | 15.64 | 0.122 | 15.65 | 15.73 | 15.74 | 15.74 | 8180.4 | 8136.3 | 8178.8 | 8776.9 | 354.3 | 367.3 | 367.5 | 367.6 | 9.84 | 1.589 |
| Bonsai-8B | Q1_0 | 512.0 | 128.0 | 0.00 | 1258.4 | 1258.0 | 1258.7 | 1262.9 | 62.2 | 62.2 | 62.3 | 62.3 | 59.02 | 59.02 | 59.04 | 59.05 | 14.61 | 0.114 | 14.62 | 14.62 | 14.63 | 14.63 | 8753.9 | 8754.1 | 8755.7 | 8756.9 | 406.9 | 407.0 | 407.1 | 407.3 | 9.97 | 1.467 |
| Bonsai-8B | Q1_0 | 1024.0 | 128.0 | -0.04 | 2394.9 | 2394.1 | 2397.2 | 2401.8 | 63.1 | 63.1 | 63.2 | 63.4 | 59.88 | 59.88 | 59.90 | 59.91 | 12.79 | 0.100 | 12.80 | 12.80 | 12.80 | 12.81 | 9996.1 | 9999.0 | 10001.6 | 10006.0 | 427.6 | 427.7 | 427.8 | 428.0 | 10.12 | 1.264 |
| Bonsai-8B | Q1_0 | 256.0 | 255.5 | -0.20 | 697.3 | 696.9 | 697.8 | 701.8 | 61.7 | 61.7 | 61.8 | 61.9 | 58.69 | 58.57 | 58.80 | 60.11 | 16.34 | 0.064 | 16.34 | 16.38 | 16.38 | 16.39 | 15632.6 | 15632.2 | 15635.9 | 15664.6 | 367.1 | 367.3 | 367.5 | 367.5 | 9.92 | 1.647 |
| Bonsai-8B | Q1_0 | 512.0 | 255.8 | -0.06 | 1259.2 | 1258.7 | 1259.9 | 1263.3 | 62.1 | 62.2 | 62.3 | 62.3 | 59.06 | 59.02 | 59.09 | 59.48 | 15.68 | 0.061 | 15.69 | 15.70 | 15.71 | 15.71 | 16310.3 | 16309.2 | 16318.7 | 16320.2 | 406.6 | 406.8 | 406.9 | 407.0 | 9.95 | 1.577 |
| Bonsai-8B | Q1_0 | 1024.0 | 255.9 | -0.04 | 2394.9 | 2394.7 | 2397.5 | 2399.1 | 63.2 | 63.1 | 63.3 | 66.0 | 59.94 | 59.91 | 59.95 | 60.29 | 14.47 | 0.057 | 14.48 | 14.49 | 14.49 | 14.49 | 17673.0 | 17672.0 | 17681.4 | 17682.3 | 427.6 | 427.6 | 427.8 | 428.0 | 10.01 | 1.446 |
| Bonsai-8B | Q1_0 | 256.0 | 511.1 | -0.17 | 697.5 | 697.2 | 697.8 | 702.7 | 61.7 | 61.7 | 61.8 | 61.8 | 58.89 | 58.78 | 58.81 | 60.56 | 16.62 | 0.033 | 16.63 | 16.66 | 16.66 | 16.69 | 30738.0 | 30734.0 | 30742.9 | 30810.1 | 367.0 | 367.2 | 367.4 | 367.5 | 9.91 | 1.677 |
| Bonsai-8B | Q1_0 | 512.0 | 508.9 | -0.61 | 1258.9 | 1258.6 | 1259.7 | 1264.3 | 62.1 | 62.1 | 62.2 | 62.2 | 59.25 | 59.22 | 59.34 | 59.52 | 16.23 | 0.032 | 16.23 | 16.24 | 16.25 | 16.25 | 31351.7 | 31519.7 | 31525.7 | 31527.0 | 406.7 | 406.8 | 407.0 | 407.1 | 9.89 | 1.640 |
| Bonsai-8B | Q1_0 | 1024.0 | 499.9 | -2.36 | 2394.4 | 2393.8 | 2396.9 | 2399.0 | 63.1 | 63.1 | 63.2 | 63.7 | 60.07 | 60.06 | 60.17 | 60.20 | 15.44 | 0.031 | 15.45 | 15.45 | 15.46 | 15.47 | 32363.3 | 32364.8 | 32373.2 | 32375.8 | 427.7 | 427.8 | 427.9 | 427.9 | 9.93 | 1.556 |
| Ternary-Bonsai-1.7B | Q2_0 | 256.0 | 128.1 | 0.04 | 214.3 | 213.0 | 213.8 | 232.5 | 25.8 | 26.3 | 26.4 | 26.6 | 23.84 | 23.85 | 23.87 | 23.88 | 39.43 | 0.308 | 39.49 | 39.48 | 39.54 | 39.76 | 3242.9 | 3241.9 | 3244.5 | 3260.6 | 1195.5 | 1201.7 | 1203.5 | 1204.3 | 8.29 | 4.755 |
| Ternary-Bonsai-1.7B | Q2_0 | 512.0 | 128.0 | 0.00 | 380.9 | 376.6 | 377.3 | 446.2 | 26.8 | 26.7 | 27.5 | 27.6 | 24.20 | 24.19 | 24.24 | 24.26 | 36.99 | 0.289 | 37.05 | 37.11 | 37.12 | 37.13 | 3454.9 | 3449.2 | 3455.1 | 3526.9 | 1346.8 | 1359.6 | 1361.2 | 1362.1 | 8.44 | 4.382 |
| Ternary-Bonsai-1.7B | Q2_0 | 1024.0 | 127.9 | -0.08 | 705.2 | 704.7 | 707.3 | 711.2 | 27.4 | 27.4 | 27.5 | 27.5 | 24.90 | 24.88 | 24.94 | 25.07 | 33.05 | 0.258 | 33.09 | 33.12 | 33.14 | 33.14 | 3865.1 | 3863.9 | 3870.8 | 3871.8 | 1452.1 | 1453.0 | 1454.6 | 1455.0 | 8.58 | 3.854 |
| Ternary-Bonsai-1.7B | Q2_0 | 2048.0 | 128.0 | -0.04 | 1385.9 | 1385.4 | 1386.9 | 1394.6 | 28.6 | 28.6 | 28.7 | 28.7 | 26.25 | 26.24 | 26.25 | 26.41 | 27.09 | 0.212 | 27.12 | 27.13 | 27.14 | 27.15 | 4718.2 | 4717.7 | 4720.1 | 4727.6 | 1477.7 | 1478.3 | 1479.3 | 1480.3 | 8.83 | 3.070 |
| Ternary-Bonsai-1.7B | Q2_0 | 256.0 | 253.8 | -0.88 | 213.7 | 213.3 | 214.2 | 218.9 | 26.2 | 26.3 | 26.4 | 26.5 | 23.86 | 23.86 | 23.90 | 23.94 | 40.59 | 0.160 | 40.63 | 40.65 | 40.67 | 40.72 | 6245.5 | 6296.8 | 6301.3 | 6311.8 | 1198.1 | 1200.5 | 1203.2 | 1203.7 | 8.44 | 4.810 |
| Ternary-Bonsai-1.7B | Q2_0 | 512.0 | 255.6 | -0.16 | 377.1 | 376.7 | 377.7 | 382.0 | 26.8 | 26.7 | 27.4 | 27.5 | 24.25 | 24.21 | 24.25 | 24.72 | 38.98 | 0.153 | 39.02 | 39.08 | 39.11 | 39.11 | 6550.3 | 6550.8 | 6553.7 | 6558.3 | 1357.8 | 1359.1 | 1360.4 | 1360.8 | 8.45 | 4.615 |
| Ternary-Bonsai-1.7B | Q2_0 | 1024.0 | 256.0 | 0.00 | 705.4 | 704.9 | 705.8 | 711.3 | 27.6 | 27.4 | 27.6 | 30.6 | 24.91 | 24.91 | 24.93 | 25.00 | 36.24 | 0.142 | 36.27 | 36.27 | 36.29 | 36.32 | 7058.4 | 7057.9 | 7061.6 | 7079.7 | 1451.6 | 1452.7 | 1453.3 | 1454.4 | 8.51 | 4.258 |
| Ternary-Bonsai-1.7B | Q2_0 | 2048.0 | 255.9 | -0.04 | 1385.1 | 1384.1 | 1388.1 | 1392.4 | 28.3 | 28.5 | 28.7 | 28.9 | 26.22 | 26.21 | 26.29 | 26.30 | 31.69 | 0.124 | 31.72 | 31.73 | 31.75 | 31.83 | 8067.9 | 8066.1 | 8076.2 | 8082.4 | 1478.6 | 1479.6 | 1480.5 | 1481.8 | 8.55 | 3.708 |
| Ternary-Bonsai-1.7B | Q2_0 | 256.0 | 511.6 | -0.09 | 214.1 | 213.1 | 217.7 | 219.0 | 26.2 | 26.2 | 26.5 | 26.6 | 24.01 | 23.99 | 24.11 | 24.14 | 40.97 | 0.080 | 41.01 | 41.04 | 41.13 | 41.15 | 12474.9 | 12467.2 | 12507.5 | 12530.9 | 1195.7 | 1201.5 | 1203.2 | 1203.8 | 8.38 | 4.887 |
| Ternary-Bonsai-1.7B | Q2_0 | 512.0 | 510.4 | -0.32 | 376.7 | 376.3 | 376.9 | 381.2 | 26.6 | 26.6 | 26.7 | 27.1 | 24.33 | 24.32 | 24.37 | 24.38 | 39.93 | 0.078 | 39.96 | 39.98 | 39.99 | 39.99 | 12770.5 | 12805.8 | 12811.2 | 12830.0 | 1359.3 | 1360.6 | 1362.0 | 1362.1 | 8.40 | 4.755 |
| Ternary-Bonsai-1.7B | Q2_0 | 1024.0 | 488.6 | -4.58 | 704.5 | 704.2 | 704.7 | 709.4 | 27.4 | 27.4 | 27.6 | 28.2 | 25.03 | 25.02 | 25.14 | 25.23 | 37.80 | 0.077 | 37.78 | 37.93 | 37.99 | 38.03 | 12911.9 | 13494.2 | 13506.0 | 13509.9 | 1453.5 | 1454.0 | 1454.6 | 1456.0 | 8.44 | 4.478 |
| Ternary-Bonsai-1.7B | Q2_0 | 2048.0 | 499.8 | -2.38 | 1384.6 | 1384.2 | 1385.3 | 1390.7 | 28.7 | 28.5 | 29.3 | 29.6 | 26.36 | 26.35 | 26.41 | 26.44 | 34.37 | 0.069 | 34.39 | 34.41 | 34.42 | 34.45 | 14533.9 | 14529.5 | 14549.3 | 14554.4 | 1479.1 | 1479.5 | 1480.2 | 1481.3 | 8.49 | 4.046 |
| Ternary-Bonsai-4B | Q2_0 | 256.0 | 128.0 | -0.04 | 489.3 | 487.0 | 487.4 | 524.2 | 52.3 | 53.7 | 53.8 | 53.8 | 50.44 | 50.43 | 50.47 | 50.74 | 18.55 | 0.145 | 18.56 | 18.57 | 18.58 | 18.59 | 6892.4 | 6892.2 | 6896.9 | 6909.0 | 523.4 | 525.7 | 525.9 | 526.1 | 8.98 | 2.066 |
| Ternary-Bonsai-4B | Q2_0 | 512.0 | 128.0 | 0.00 | 866.6 | 866.3 | 866.7 | 871.5 | 54.3 | 54.1 | 54.9 | 54.9 | 50.82 | 50.82 | 50.85 | 50.86 | 17.47 | 0.137 | 17.48 | 17.49 | 17.49 | 17.49 | 7321.1 | 7320.4 | 7325.1 | 7326.2 | 590.8 | 591.0 | 591.3 | 591.5 | 9.06 | 1.928 |
| Ternary-Bonsai-4B | Q2_0 | 1024.0 | 128.0 | -0.04 | 1642.9 | 1642.4 | 1644.1 | 1648.0 | 55.1 | 55.1 | 55.2 | 55.3 | 51.82 | 51.80 | 51.86 | 52.13 | 15.55 | 0.122 | 15.56 | 15.57 | 15.58 | 15.58 | 8221.7 | 8221.5 | 8227.9 | 8234.4 | 623.3 | 623.5 | 623.7 | 623.9 | 9.20 | 1.691 |
| Ternary-Bonsai-4B | Q2_0 | 2048.0 | 128.0 | 0.00 | 3257.6 | 3257.5 | 3259.1 | 3263.5 | 56.7 | 56.7 | 56.8 | 57.4 | 53.51 | 53.51 | 53.54 | 53.55 | 12.73 | 0.099 | 12.73 | 12.73 | 12.74 | 12.75 | 10053.2 | 10052.6 | 10058.0 | 10063.0 | 628.7 | 628.7 | 629.0 | 629.4 | 9.39 | 1.355 |
| Ternary-Bonsai-4B | Q2_0 | 256.0 | 255.8 | -0.06 | 487.7 | 487.4 | 487.7 | 493.3 | 53.8 | 53.7 | 53.9 | 54.4 | 50.48 | 50.45 | 50.54 | 50.85 | 19.15 | 0.075 | 19.16 | 19.17 | 19.19 | 19.20 | 13353.6 | 13351.5 | 13367.7 | 13371.2 | 524.9 | 525.2 | 525.5 | 525.7 | 9.07 | 2.110 |
| Ternary-Bonsai-4B | Q2_0 | 512.0 | 256.0 | 0.00 | 867.1 | 866.7 | 867.7 | 872.1 | 54.3 | 54.2 | 54.3 | 54.8 | 50.91 | 50.90 | 50.94 | 50.96 | 18.48 | 0.072 | 18.49 | 18.49 | 18.49 | 18.50 | 13848.7 | 13845.6 | 13861.3 | 13863.3 | 590.4 | 590.8 | 590.9 | 591.1 | 9.10 | 2.031 |
| Ternary-Bonsai-4B | Q2_0 | 1024.0 | 256.0 | 0.00 | 1643.1 | 1642.8 | 1643.8 | 1647.5 | 55.2 | 55.2 | 55.7 | 55.9 | 51.77 | 51.77 | 51.79 | 51.81 | 17.24 | 0.067 | 17.25 | 17.25 | 17.25 | 17.26 | 14844.4 | 14843.8 | 14849.8 | 14855.2 | 623.2 | 623.3 | 623.6 | 623.7 | 9.13 | 1.888 |
| Ternary-Bonsai-4B | Q2_0 | 2048.0 | 255.9 | -0.02 | 3257.7 | 3257.5 | 3259.3 | 3264.8 | 56.8 | 56.7 | 56.8 | 59.6 | 53.57 | 53.55 | 53.68 | 53.78 | 15.12 | 0.059 | 15.13 | 15.14 | 15.14 | 15.14 | 16915.8 | 16910.2 | 16928.0 | 16968.2 | 628.7 | 628.7 | 629.3 | 629.5 | 9.22 | 1.641 |
| Ternary-Bonsai-4B | Q2_0 | 256.0 | 511.9 | -0.03 | 488.1 | 487.5 | 488.4 | 493.9 | 53.7 | 53.7 | 53.9 | 54.5 | 50.68 | 50.67 | 50.78 | 50.80 | 19.40 | 0.038 | 19.41 | 19.41 | 19.42 | 19.48 | 26375.5 | 26377.4 | 26385.3 | 26386.8 | 524.5 | 525.1 | 525.2 | 525.4 | 9.06 | 2.142 |
| Ternary-Bonsai-4B | Q2_0 | 512.0 | 511.9 | -0.03 | 867.1 | 866.7 | 867.5 | 872.0 | 54.1 | 54.1 | 54.1 | 54.2 | 51.09 | 51.08 | 51.16 | 51.29 | 18.97 | 0.037 | 18.98 | 18.98 | 18.99 | 19.08 | 26966.9 | 26966.8 | 26980.6 | 26991.3 | 590.5 | 590.7 | 591.1 | 591.2 | 9.05 | 2.096 |
| Ternary-Bonsai-4B | Q2_0 | 1024.0 | 512.0 | 0.00 | 1642.8 | 1642.7 | 1643.4 | 1647.7 | 55.1 | 55.1 | 55.3 | 55.4 | 51.99 | 51.98 | 52.06 | 52.14 | 18.14 | 0.035 | 18.15 | 18.15 | 18.17 | 18.19 | 28208.5 | 28206.5 | 28240.4 | 28243.6 | 623.3 | 623.4 | 623.8 | 623.9 | 9.06 | 2.003 |
| Ternary-Bonsai-4B | Q2_0 | 2048.0 | 499.8 | -2.38 | 3258.1 | 3257.6 | 3261.9 | 3262.5 | 56.7 | 56.7 | 56.8 | 57.3 | 53.74 | 53.72 | 53.81 | 53.86 | 16.62 | 0.033 | 16.63 | 16.63 | 16.64 | 16.64 | 30061.8 | 30063.1 | 30070.8 | 30084.8 | 628.6 | 628.7 | 628.9 | 629.3 | 9.15 | 1.817 |
| Ternary-Bonsai-8B | Q2_0 | 256 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 512 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 1024 | 128 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 256 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 512 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 1024 | 256 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 256 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 512 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Ternary-Bonsai-8B | Q2_0 | 1024 | 512 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
Per-Model Best Tok/J (optimal configuration)
| Model | Quant | Best Tok/J | at Prompt | at Gen | Tok/s | Power (W) |
|---|---|---|---|---|---|---|
| Bonsai-1.7B | Q1_0 | 5.127 | 256 | 512 | 27.63 | 5.39 |
| Bonsai-4B | Q1_0 | 2.479 | 256 | 512 | 15.12 | 6.10 |
| Bonsai-8B | Q1_0 | 1.677 | 256 | 512 | 16.62 | 9.91 |
| Ternary-Bonsai-1.7B | Q2_0 | 4.887 | 256 | 512 | 40.97 | 8.38 |
| Ternary-Bonsai-4B | Q2_0 | 2.142 | 256 | 512 | 19.40 | 9.06 |
| Ternary-Bonsai-8B | Q2_0 | — | — | — | — | — |
Thermal & Power Summary (per-model window)
| Model | Quant | Avg Power (W) | Peak TJ (°C) | Status |
|---|---|---|---|---|
| Bonsai-1.7B | Q1_0 | 4.92 | 65.9 | OK |
| Bonsai-4B | Q1_0 | 6.21 | 67.7 | OK |
| Bonsai-8B | Q1_0 | 9.58 | 75.3 | OK |
| Ternary-Bonsai-1.7B | Q2_0 | 4.15 | 72.4 | OK |
| Ternary-Bonsai-4B | Q2_0 | 8.75 | 71.8 | OK |
| Ternary-Bonsai-8B | Q2_0 | — | — | OOM / Skipped |
Notes
- Bonsai-8B: 9/9 valid combos complete. ctx=2048 excluded by design (ctx cap 1536 = 1024 prompt + 512 gen max).
- Ternary-Bonsai-8B: Skipped — JetPack R36.4.7 NvMap regression bug. cudaMalloc fails for contiguous allocations ≥1.9 GB even on fresh boot. Same bug blocks all large Q4 models (Gemma 3 4B, Llama 3.1 8B) on this JetPack version. Fix: upgrade to JetPack 6.2.2 (L4T 36.5) via clean flash.
- Context window:
--no-cache-prompt -c 2560for 1.7B/4B models,-c 1536for 8B. - Power measurement:
VDD_CPU_GPU_CVrail (CPU + GPU + CV) fromtegrastats, 1 Hz sampling, averaged over each aiperf run window. - Concurrency: 1 (single-user; tok/J reflects single-inference energy cost).
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