gpu_id int64 195 11.9k | test_name stringlengths 8 106 | score float64 0.41 180B | unit stringclasses 28
values | source__name stringclasses 3
values |
|---|---|---|---|---|
8,001 | LLM Inference: MLPerf: llama2-70b-99 (UINT4) | 527.5125 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: dummy-GPT2-correct-vocab (bnb) | 74.626832 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-neo-125m (unquantized) | 106.835685 | tokens/s | LLM Inference |
195 | LLM Inference: llama.cpp Bench: llama 7B Q4_0 (Q4_0) | 248.77 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-125m (unquantized) | 109.808435 | tokens/s | LLM Inference |
11,557 | LLM Inference: MLPerf: mixtral-8x7b (fp8) | 4,714.2 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt2 (gptq) | 108.296688 | tokens/s | LLM Inference |
199 | LLM Inference: MLPerf: mixtral-8x7b (fp8) | 3,466.125 | tokens/s | LLM Inference |
11,743 | Hashcat: Benchmark: TrueCrypt RIPEMD160 + XTS | 1,281,400 | H/s | OpenBenchmarking: Hashcat |
199 | LLM Inference: MLPerf: gptj-99.9 (fp8) | 1,562.8175 | tokens/s | LLM Inference |
199 | LLM Inference: MLPerf: gptj-99 (fp8) | 1,562.8175 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-125m (gptq) | 117.806382 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-70m (awq) | 130.097533 | tokens/s | LLM Inference |
10,914 | LLM Inference: MLPerf: llama2-70b-99.9 (fp4) | 7,436.4 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: distilgpt2 (awq) | 185.120467 | tokens/s | LLM Inference |
195 | LLM Inference: MLPerf: llama2-70b-99 (fp8) | 370.5775 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-125m (torchao) | 112.930977 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-160m (unquantized) | 90.053826 | tokens/s | LLM Inference |
195 | LLM Inference: MLPerf: llama2-70b-99 (bfloat16) | 2,631.93 | tokens/s | LLM Inference |
11,743 | Hashcat: Benchmark: WPA-PBKDF2-PMKID+EAPOL | 1,761,767 | H/s | OpenBenchmarking: Hashcat |
5,057 | LLM Inference: LLM Perf: pythia-70m (gptq) | 161.371327 | tokens/s | LLM Inference |
11,335 | LLM Inference: MLPerf: llama2-70b-99 (fp4) | 3,250.7375 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: dummy-GPT2-correct-vocab (unquantized) | 214.424072 | tokens/s | LLM Inference |
3,625 | LLM Inference: llama.cpp Bench: llama 7B Q4_0 (Q4_0) | 13.99 | tokens/s | LLM Inference |
8,001 | LLM Inference: MLPerf: llama3.1-8b-edge (UINT4) | 1,652.47 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-neo-125m (awq) | 75.204874 | tokens/s | LLM Inference |
11,335 | LLM Inference: MLPerf: llama2-70b-99.9 (fp4) | 3,250.125 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt2 (torchao) | 100.901869 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-160m (awq) | 68.972871 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-70m (bnb) | 62.661933 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt2 (awq) | 102.007562 | tokens/s | LLM Inference |
11,557 | LLM Inference: MLPerf: llama2-70b-interactive-99 (fp8) | 1,380.1875 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-125m (awq) | 77.011323 | tokens/s | LLM Inference |
10,914 | LLM Inference: MLPerf: llama3.1-405b (fp4) | 130.53 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt2-small-spanish (gptq) | 108.034596 | tokens/s | LLM Inference |
11,199 | LLM Inference: llama.cpp Bench: llama 7B Q4_0 (Q4_0) | 104.38 | tokens/s | LLM Inference |
196 | LLM Inference: MLPerf: gptj-99.9 (fp8) | 2,414.8625 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-neo-125m (gptq) | 79.918897 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt2-large (unquantized) | 37.93979 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-2.7b (gptq) | 46.987472 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: xglm-564M (gptq) | 57.993482 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-350m (gptq) | 62.12685 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: stablelm-base-alpha-7b (gptq) | 38.786926 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: xglm-564M (awq) | 39.09178 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt2-large (gptq) | 41.001026 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-0.5B (unquantized) | 41.936688 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-160m (bnb) | 32.766422 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-1.8B (awq) | 30.393479 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-350m (awq) | 41.586967 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: stablelm-3b-4e1t (gptq) | 36.883654 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: phi-1_5 (unquantized) | 38.356695 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-2.7b (gptq) | 34.419861 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-1.4b (gptq) | 45.858019 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-1.8B (gptq) | 39.571349 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: falcon-rw-1b (gptq) | 56.986707 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: rho-math-1b-v0.1 (gptq) | 42.823521 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-1.3b (gptq) | 45.695724 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-0.5B (awq) | 30.891517 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-neo-1.3B (gptq) | 42.488716 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-neo-1.3B (unquantized) | 35.799897 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-neo-125m (bnb) | 26.416333 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt2 (bnb) | 34.361096 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-410m (unquantized) | 46.812699 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-2.7b (awq) | 15.171438 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-neo-1.3B (awq) | 39.585358 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: bloomz-560m (awq) | 40.573744 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-125m (bnb) | 27.34459 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: stablelm-base-alpha-3b (gptq) | 60.816247 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-1.3b (unquantized) | 35.079838 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gemma-2b (awq) | 31.284003 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-6.7b (awq) | 26.259873 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-410m (awq) | 36.698825 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: xglm-564M (unquantized) | 58.764207 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: bloomz-560m (gptq) | 55.457465 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: stablelm-2-1_6b (gptq) | 45.002167 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: bloomz-560m (unquantized) | 52.864496 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-350m (unquantized) | 66.057319 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-2.7b (awq) | 26.646895 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: bloomz-560m (torchao) | 58.087489 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: falcon-rw-1b (unquantized) | 41.660649 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-1.4b (unquantized) | 35.097812 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-neo-2.7B (awq) | 29.951643 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gemma-2b (gptq) | 38.348712 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-6.7b (awq) | 6.820265 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt2-small-spanish (bnb) | 32.932188 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: phi-1_5 (gptq) | 42.484896 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-410m (gptq) | 46.265087 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: stablelm-2-1_6b (unquantized) | 35.333764 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: rho-math-1b-v0.1 (unquantized) | 44.119295 | tokens/s | LLM Inference |
11,743 | Hashcat: Benchmark: Kerberos 5 + etype 23 + TGS-REP | 2,110,933,333 | H/s | OpenBenchmarking: Hashcat |
5,057 | LLM Inference: LLM Perf: pythia-1.3b (awq) | 35.535602 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-1.4b (awq) | 36.255994 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-1.8B (unquantized) | 33.601882 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-0.5B (gptq) | 41.966513 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen2-0.5B (gptq) | 40.644603 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: falcon-rw-1b (bnb) | 18.008523 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: recurrentgemma-2b (unquantized) | 18.216714 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: DeciLM-7B (awq) | 24.688916 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-4B (awq) | 18.637962 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-4B (gptq) | 24.759511 | tokens/s | LLM Inference |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.