TR 2990WX 2020

AMD Ryzen Threadripper 2990WX 32-Core testing with a ASUS ROG ZENITH EXTREME (1701 BIOS) and Gigabyte AMD Radeon RX 470/480/570/570X/580/580X/590 4GB on Ubuntu 20.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012260-HA-TR2990WX254
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Audio Encoding 3 Tests
Bioinformatics 2 Tests
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C/C++ Compiler Tests 12 Tests
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Database Test Suite 2 Tests
Encoding 6 Tests
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Game Development 3 Tests
HPC - High Performance Computing 9 Tests
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Multi-Core 15 Tests
NVIDIA GPU Compute 8 Tests
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Python Tests 2 Tests
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Video Encoding 3 Tests
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December 24 2020
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December 24 2020
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TR 2990WX 2020 Suite 1.0.0 System Test suite extracted from TR 2990WX 2020. pts/hpcc-1.2.8 HPL Test / Class: G-HPL pts/build-clash-1.0.2 Time To Compile pts/basis-1.0.2 -uastc -uastc_level 2 -uastc_rdo_q .75 Settings: UASTC Level 2 + RDO Post-Processing pts/ncnn-1.1.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.1.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.1.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.1.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.1.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.1.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.1.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.1.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.1.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.1.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.1.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.1.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.1.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.1.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.1.0 -1 Target: CPU - Model: mobilenet pts/lammps-1.3.0 benchmark_20k_atoms.in Model: 20k Atoms pts/ncnn-1.1.0 Target: Vulkan GPU - Model: regnety_400m pts/ncnn-1.1.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.1.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.1.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.1.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.1.0 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.1.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.1.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.1.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.1.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.1.0 Target: Vulkan GPU - Model: mobilenet pts/vkfft-1.1.0 pts/ai-benchmark-1.0.1 Device AI Score pts/ai-benchmark-1.0.1 Device Training Score pts/ai-benchmark-1.0.1 Device Inference Score pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/hmmer-1.2.2 Pfam Database Search pts/numpy-1.2.1 pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/brl-cad-1.1.2 VGR Performance Metric pts/embree-1.1.1 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/embree-1.1.1 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/compress-zstd-1.2.1 -b19 Compression Level: 19 pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Decompression Speed pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Compression Speed pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/embree-1.1.1 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/vkmark-1.2.0 --size 1280x1024 Resolution: 1280 x 1024 pts/vkmark-1.2.0 --size 1920x1080 Resolution: 1920 x 1080 pts/indigobench-1.1.0 --cpuonly --scenes bedroom Acceleration: CPU - Scene: Bedroom pts/node-web-tooling-1.0.0 pts/gromacs-1.4.1 Water Benchmark pts/build2-1.1.0 Time To Compile pts/embree-1.1.1 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/build-eigen-1.1.0 Time To Compile pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/astcenc-1.0.2 -exhaustive Preset: Exhaustive pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Decompression Speed pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Compression Speed pts/rav1e-1.4.0 -s 5 -l 60 Speed: 5 pts/rav1e-1.4.0 -s 1 -l 20 Speed: 1 pts/indigobench-1.1.0 --cpuonly --scenes supercar Acceleration: CPU - Scene: Supercar pts/onednn-1.6.1 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/embree-1.1.1 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset slow Video Input: Bosphorus 4K - Video Preset: Slow pts/simdjson-1.1.1 LargeRandom Throughput Test: LargeRandom pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/simdjson-1.1.1 PartialTweets Throughput Test: PartialTweets pts/simdjson-1.1.1 DistinctUserID Throughput Test: DistinctUserID pts/redis-1.3.0 -t get Test: GET pts/clomp-1.1.1 Static OMP Speedup pts/simdjson-1.1.1 Kostya Throughput Test: Kostya pts/basis-1.0.2 Settings: ETC1S pts/rav1e-1.4.0 -s 6 -l 60 Speed: 6 pts/stockfish-1.2.0 Total Time pts/redis-1.3.0 -t lpop Test: LPOP pts/espeak-1.6.1 Text-To-Speech Synthesis pts/redis-1.3.0 -t sadd Test: SADD pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/build-ffmpeg-1.0.2 Time To Compile pts/libplacebo-1.0.0 Test: av1_grain_lap pts/libplacebo-1.0.0 Test: hdr_peakdetect pts/libplacebo-1.0.0 Test: polar_nocompute pts/libplacebo-1.0.0 Test: deband_heavy pts/phpbench-1.1.6 PHP Benchmark Suite pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Decompression Speed pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Compression Speed pts/rav1e-1.4.0 -s 10 -l 90 Speed: 10 pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/betsy-1.0.0 --codec=etc2_rgb --quality=2 Codec: ETC2 RGB - Quality: Highest pts/onednn-1.6.1 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/embree-1.1.1 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/crafty-1.4.5 Elapsed Time pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/basis-1.0.2 -uastc -uastc_level 3 Settings: UASTC Level 3 pts/betsy-1.0.0 --codec=etc1 --quality=2 Codec: ETC1 - Quality: Highest pts/encode-ape-1.4.0 WAV To APE pts/sunflow-1.1.3 Global Illumination + Image Synthesis pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset slow Video Input: Bosphorus 1080p - Video Preset: Slow pts/encode-wavpack-1.4.1 WAV To WavPack pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/vkresample-1.0.0 -u 2 -p 0 Upscale: 2x - Precision: Single pts/mafft-1.6.2 Multiple Sequence Alignment - LSU RNA pts/basis-1.0.2 -uastc -uastc_level 2 Settings: UASTC Level 2 pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/astcenc-1.0.2 -thorough Preset: Thorough pts/encode-opus-1.1.1 WAV To Opus Encode pts/redis-1.3.0 -t lpush Test: LPUSH pts/redis-1.3.0 -t set Test: SET pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 -x Scale: 2x - Denoise: 3 - TAA: Yes pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/basis-1.0.2 -uastc -uastc_level 0 Settings: UASTC Level 0 pts/lammps-1.3.0 in.rhodo Model: Rhodopsin Protein pts/yquake2-1.0.1 +set vid_renderer soft +set r_mode 21 Renderer: Software CPU - Resolution: 1920 x 1080 pts/astcenc-1.0.2 -medium Preset: Medium pts/onednn-1.6.1 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/astcenc-1.0.2 -fast Preset: Fast pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/yquake2-1.0.1 +set vid_renderer gl1 +set r_mode 21 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 Scale: 2x - Denoise: 3 - TAA: No pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/yquake2-1.0.1 +set vid_renderer gl3 +set r_mode 21 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 pts/hpcc-1.2.8 MAXPPBANDWIDTH Test / Class: Max Ping Pong Bandwidth pts/hpcc-1.2.8 RRINGBANDWIDTH Test / Class: Random Ring Bandwidth pts/hpcc-1.2.8 RRINGLATENCY Test / Class: Random Ring Latency pts/hpcc-1.2.8 MPIRANDOMACCESS Test / Class: G-Random Access pts/hpcc-1.2.8 STARSTREAMTRIAD Test / Class: EP-STREAM Triad pts/hpcc-1.2.8 PTRANS Test / Class: G-Ptrans pts/hpcc-1.2.8 STARDGEMMFLOPS Test / Class: EP-DGEMM pts/hpcc-1.2.8 MPIFFT Test / Class: G-Ffte