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 |
|---|---|---|---|---|
5,057 | LLM Inference: LLM Perf: Qwen1.5-4B (bnb) | 6.70443 | tokens/s | LLM Inference |
10,335 | CloverLeaf: Input: clover_bm | 108.7 | Seconds | OpenBenchmarking: Llama.cpp |
10,335 | CloverLeaf: Input: clover_bm16 | 802.16 | Seconds | OpenBenchmarking: Llama.cpp |
11,199 | LLM Inference: Geekbench AI: Geekbench AI Half Precision (fp16) | 54,998 | points | LLM Inference |
5,057 | LLM Inference: LLM Perf: falcon-7b (unquantized) | 13.992341 | tokens/s | LLM Inference |
11,199 | LLM Inference: Geekbench AI: Geekbench AI Single Precision (fp32) | 38,235 | points | LLM Inference |
195 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 280.74 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Meta-Llama-3-8B-Instruct (bnb) | 7.758203 | tokens/s | LLM Inference |
3,625 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 13.99 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: codegen-6B-nl (bnb) | 10.518386 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama2-70b-interactive-99 (fp8) | 2,422.625 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: xglm-7.5B (bnb) | 10.055417 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-6.7b (bnb) | 12.35083 | tokens/s | LLM Inference |
1,819 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 14.27 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-MoE-A2.7B (bnb) | 1.714927 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama2-70b-interactive-99.9 (fp8) | 1,524.05 | tokens/s | LLM Inference |
11,445 | LLM Inference: Geekbench AI: Geekbench AI Half Precision (fp16) | 58,886 | points | LLM Inference |
5,057 | LLM Inference: LLM Perf: DeciLM-7B (bnb) | 8.560504 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama2-70b-interactive-99.9 (fp16) | 1,995.0125 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Llama-3.1-8B-Instruct (bnb) | 7.683538 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Mistral-7B-v0.1 (bnb) | 8.012691 | tokens/s | LLM Inference |
8,001 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 8.21 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-neox-20b (bnb) | 4.603374 | tokens/s | LLM Inference |
10,810 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 22.41 | tokens/s | LLM Inference |
11,445 | LLM Inference: Geekbench AI: Geekbench AI Single Precision (fp32) | 39,390 | points | LLM Inference |
5,057 | LLM Inference: LLM Perf: gemma-7b (bnb) | 8.868821 | tokens/s | LLM Inference |
3,327 | LLM Inference: llama.cpp Bench: qwen3 32B Q4_K - Medium (Q4_0) | 7.19 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama3.1-405b (fp8) | 25.347 | tokens/s | LLM Inference |
3,601 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 74.66 | tokens/s | LLM Inference |
11,199 | LLM Inference: Geekbench AI: Geekbench AI Quantized (int8) | 28,646 | points | LLM Inference |
10,913 | LLM Inference: MLPerf: gptj-99 (fp8) | 2,562.725 | tokens/s | LLM Inference |
11,335 | LLM Inference: Geekbench AI: Geekbench AI Half Precision (fp16) | 53,322 | points | LLM Inference |
11,445 | LLM Inference: Geekbench AI: Geekbench AI Quantized (int8) | 29,332 | points | LLM Inference |
5,057 | LLM Inference: LLM Perf: llama-7b (bnb) | 8.284234 | tokens/s | LLM Inference |
11,335 | LLM Inference: Geekbench AI: Geekbench AI Single Precision (fp32) | 37,299 | points | LLM Inference |
5,057 | LLM Inference: LLM Perf: Mistral_Pro_8B_v0.1 (bnb) | 6.122839 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: recurrentgemma-9b (bnb) | 6.269754 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: falcon-7b (bnb) | 11.297934 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: opt-6.7b (bnb) | 10.366067 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: stablelm-2-12b (bnb) | 4.920549 | tokens/s | LLM Inference |
3,327 | LLM Inference: llama.cpp Bench: gpt-oss 20B Q4_K - Medium (Q4_0) | 46.99 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen1.5-7B (bnb) | 8.040545 | tokens/s | LLM Inference |
3,860 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 232.92 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-j-6b (bnb) | 10.148739 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Meta-Llama-3-8B (bnb) | 7.964154 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: codegen-16B-nl (bnb) | 5.860508 | tokens/s | LLM Inference |
11,199 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 104.38 | tokens/s | LLM Inference |
3,327 | LLM Inference: llama.cpp Bench: llama 7B Q4_0 (Q4_0) | 36.68 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: pythia-12b (bnb) | 7.797835 | tokens/s | LLM Inference |
3,327 | LLM Inference: llama.cpp Bench: qwen3moe 30B.A3B Q4_K - Medium (Q4_0) | 35.09 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: DeepSeek-V2-Lite (bnb) | 9.63592 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: RedPajama-INCITE-Base-7B-v0.1 (bnb) | 12.032296 | tokens/s | LLM Inference |
11,335 | LLM Inference: Geekbench AI: Geekbench AI Quantized (int8) | 28,264 | points | LLM Inference |
10,335 | srsRAN Project: Test: PDSCH Processor Benchmark, Throughput Total | 87,979.2 | Mbps | OpenBenchmarking: Llama.cpp |
203 | LLM Inference: Geekbench AI: Geekbench AI Quantized (int8) | 29,434 | points | LLM Inference |
202 | LLM Inference: Geekbench AI: Geekbench AI Quantized (int8) | 28,261 | points | LLM Inference |
10,937 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 273.68 | tokens/s | LLM Inference |
203 | LLM Inference: Geekbench AI: Geekbench AI Half Precision (fp16) | 53,882 | points | LLM Inference |
10,910 | vkpeak: fp64-scalar | 813.8 | GFLOPS | OpenBenchmarking: Hashcat |
3,327 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 41.68 | tokens/s | LLM Inference |
10,937 | LLM Inference: Geekbench AI: Geekbench AI Single Precision (fp32) | 46,917 | points | LLM Inference |
3,379 | Hashcat: Benchmark: WPA-PBKDF2-PMKID+EAPOL | 104,967 | H/s | OpenBenchmarking: Hashcat |
5,057 | LLM Inference: LLM Perf: Qwen1.5-14B (bnb) | 7.139666 | tokens/s | LLM Inference |
5,057 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 46.38 | tokens/s | LLM Inference |
203 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 188.96 | tokens/s | LLM Inference |
203 | LLM Inference: MLPerf: llama3.1-8b-edge (fp32) | 44.6708 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gpt-j-6b (gptq) | 22.200958 | tokens/s | LLM Inference |
10,910 | vkpeak: fp64-vec4 | 812.64 | GFLOPS | OpenBenchmarking: Hashcat |
10,910 | vkpeak: int32-scalar | 25,964.43 | GIOPS | OpenBenchmarking: Hashcat |
203 | LLM Inference: llama.cpp Bench: llama 7B Q4_0 (Q4_0) | 154.68 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gemma-2-2b (awq) | 17.92887 | tokens/s | LLM Inference |
10,910 | vkpeak: int32-vec4 | 24,593.47 | GIOPS | OpenBenchmarking: Hashcat |
10,937 | LLM Inference: llama.cpp Bench: llama 7B Q4_0 (Q4_0) | 315.3 | tokens/s | LLM Inference |
10,910 | vkpeak: int16-scalar | 25,955.42 | GIOPS | OpenBenchmarking: Hashcat |
10,910 | vkpeak: int16-vec4 | 24,589.36 | GIOPS | OpenBenchmarking: Hashcat |
10,910 | vkpeak: int8-dotprod | 32,808.08 | GIOPS | OpenBenchmarking: Hashcat |
5,057 | LLM Inference: LLM Perf: Mistral_Pro_8B_v0.1 (gptq) | 22.156221 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: codegen-6B-nl (awq) | 16.369551 | tokens/s | LLM Inference |
10,910 | vkpeak: int8-matrix | 409,762.38 | GIOPS | OpenBenchmarking: Hashcat |
10,910 | vkpeak: bf16-matrix | 101,289.72 | GFLOPS | OpenBenchmarking: Hashcat |
10,910 | RealSR-NCNN: Scale: 4x - TAA: No | 5.589 | Seconds | OpenBenchmarking: Hashcat |
10,910 | Waifu2x-NCNN Vulkan: Scale: 2x - Denoise: 3 - TAA: No | 5.878 | Seconds | OpenBenchmarking: Hashcat |
10,910 | Hashcat: Benchmark: MD5 | 90,224,866,667 | H/s | OpenBenchmarking: Hashcat |
10,910 | Hashcat: Benchmark: NTLM | 139,566,666,667 | H/s | OpenBenchmarking: Hashcat |
10,910 | Hashcat: Benchmark: SHA1 | 27,785,466,667 | H/s | OpenBenchmarking: Hashcat |
10,910 | Hashcat: Benchmark: 7-Zip | 1,441,767 | H/s | OpenBenchmarking: Hashcat |
202 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 191.57 | tokens/s | LLM Inference |
10,243 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 96.65 | tokens/s | LLM Inference |
8,827 | LLM Inference: llama.cpp Bench: llama-2-7b-Q4_0 (Q4_0) | 47.06 | tokens/s | LLM Inference |
202 | LLM Inference: llama.cpp Bench: llama 7B Q4_0 (Q4_0) | 173.16 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Mistral_Pro_8B_v0.1 (awq) | 14.21347 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gemma-7b (awq) | 20.51416 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: gemma-2-2b (bnb) | 7.900127 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Llama-2-13b-hf (bnb) | 6.732758 | tokens/s | LLM Inference |
10,913 | LLM Inference: MLPerf: llama3.1-405b (fp16) | 40.817125 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Qwen2-0.5B (unquantized) | 37.639813 | tokens/s | LLM Inference |
5,057 | LLM Inference: LLM Perf: Meta-Llama-3-8B (awq) | 22.441536 | tokens/s | LLM Inference |
10,937 | LLM Inference: Geekbench AI: Geekbench AI Half Precision (fp16) | 69,765 | points | LLM Inference |
10,937 | LLM Inference: Geekbench AI: Geekbench AI Quantized (int8) | 34,610 | points | LLM Inference |
5,057 | LLM Inference: LLM Perf: polyglot-ko-12.8b (bnb) | 7.076399 | tokens/s | LLM Inference |
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