7950X Linux 6.1 Kernel Benchmarks

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0703 BIOS) and AMD Radeon RX 6800 16GB on Ubuntu 22.10 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 2211060-PTS-7950XLIN25
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C++ Boost Tests 2 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 4 Tests
CPU Massive 12 Tests
Creator Workloads 9 Tests
Database Test Suite 4 Tests
HPC - High Performance Computing 4 Tests
Imaging 5 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 3 Tests
Multi-Core 9 Tests
Programmer / Developer System Benchmarks 6 Tests
Python Tests 8 Tests
Server 5 Tests
Server CPU Tests 9 Tests
Single-Threaded 2 Tests
Common Workstation Benchmarks 2 Tests

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Linux 6.0
November 05 2022
  9 Hours, 57 Minutes
Linux 6.1 Git
November 05 2022
  10 Hours, 50 Minutes
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  10 Hours, 23 Minutes
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7950X Linux 6.1 Kernel Benchmarks Suite 1.0.0 System Test suite extracted from 7950X Linux 6.1 Kernel Benchmarks. pts/jpegxl-1.5.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 100 --num_reps 10 Input: JPEG - Quality: 100 pts/tensorflow-2.0.0 --device cpu --batch_size=256 --model=resnet50 Device: CPU - Batch Size: 256 - Model: ResNet-50 pts/build-llvm-1.4.0 Ninja Build System: Ninja pts/build-nodejs-1.2.0 Time To Compile pts/jpegxl-1.5.0 sample-4.png out.jxl -q 100 --num_reps 10 Input: PNG - Quality: 100 pts/tensorflow-2.0.0 --device cpu --batch_size=256 --model=googlenet Device: CPU - Batch Size: 256 - Model: GoogLeNet pts/build-gem5-1.0.0 Time To Compile pts/brl-cad-1.3.0 VGR Performance Metric pts/ffmpeg-3.0.0 --encoder=libx264 upload Encoder: libx264 - Scenario: Upload pts/ffmpeg-3.0.0 --encoder=libx265 vod Encoder: libx265 - Scenario: Video On Demand pts/ffmpeg-3.0.0 --encoder=libx265 platform Encoder: libx265 - Scenario: Platform pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Third Run pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Second Run pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, First Run / Cold Cache pts/gravitymark-1.7.0 -width 1920 -height 1080 -opengl Resolution: 1920 x 1080 - Renderer: OpenGL pts/gravitymark-1.7.0 -width 1920 -height 1080 -vulkan Resolution: 1920 x 1080 - Renderer: Vulkan pts/tensorflow-2.0.0 --device cpu --batch_size=64 --model=resnet50 Device: CPU - Batch Size: 64 - Model: ResNet-50 pts/openradioss-1.0.0 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield pts/ffmpeg-3.0.0 --encoder=libx265 upload Encoder: libx265 - Scenario: Upload pts/stress-ng-1.6.0 --sock -1 Test: Socket Activity pts/stress-ng-1.6.0 --matrix -1 Test: Matrix Math pts/stress-ng-1.6.0 --cache -1 Test: CPU Cache pts/stress-ng-1.6.0 --crypt -1 Test: Crypto pts/stress-ng-1.6.0 --fork -1 Test: Forking pts/stress-ng-1.6.0 --io-uring -1 Test: IO_uring pts/ffmpeg-3.0.0 --encoder=libx264 vod Encoder: libx264 - Scenario: Video On Demand pts/ffmpeg-3.0.0 --encoder=libx264 platform Encoder: libx264 - Scenario: Platform pts/nginx-3.0.0 -c 1000 Connections: 1000 pts/nginx-3.0.0 -c 500 Connections: 500 pts/stress-ng-1.6.0 --msg -1 Test: System V Message Passing pts/nginx-3.0.0 -c 200 Connections: 200 pts/nginx-3.0.0 -c 100 Connections: 100 pts/stress-ng-1.6.0 --mmap -1 Test: MMAP pts/openradioss-1.0.0 Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad Model: Bumper Beam pts/xmrig-1.1.0 --bench=1M Variant: Monero - Hash Count: 1M pts/deepsparse-1.0.1 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream pts/jpegxl-1.5.0 --lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 90 --num_reps 40 Input: JPEG - Quality: 90 pts/stress-ng-1.6.0 --switch -1 Test: Context Switching pts/stress-ng-1.6.0 --malloc -1 Test: Malloc pts/jpegxl-1.5.0 sample-4.png out.jxl -q 90 --num_reps 40 Input: PNG - Quality: 90 pts/unvanquished-1.7.0 +set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/high.cfg Resolution: 1920 x 1080 - Effects Quality: High pts/memtier-benchmark-1.4.1 -P redis -c 100 --ratio=1:1 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 pts/memtier-benchmark-1.4.1 -P redis -c 100 --ratio=10:1 Protocol: Redis - Clients: 100 - Set To Get Ratio: 10:1 pts/memtier-benchmark-1.4.1 -P redis -c 100 --ratio=1:10 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 pts/memtier-benchmark-1.4.1 -P redis -c 50 --ratio=1:1 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 pts/memtier-benchmark-1.4.1 -P redis -c 50 --ratio=10:1 Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1 pts/memtier-benchmark-1.4.1 -P redis -c 50 --ratio=1:10 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 pts/unvanquished-1.7.0 +set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/ultra.cfg Resolution: 1920 x 1080 - Effects Quality: Ultra pts/tensorflow-2.0.0 --device cpu --batch_size=256 --model=alexnet Device: CPU - Batch Size: 256 - Model: AlexNet pts/xonotic-1.6.0 +vid_width 1920 +vid_height 1080 +exec effects-ultimate.cfg Resolution: 1920 x 1080 - Effects Quality: Ultimate pts/openradioss-1.0.0 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation pts/unvanquished-1.7.0 +set r_customWidth 1920 +set r_customHeight 1080 +preset presets/graphics/medium.cfg Resolution: 1920 x 1080 - Effects Quality: Medium pts/openvino-1.1.0 -m models/intel/person-detection-0106/FP16/person-detection-0106.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/person-detection-0106/FP32/person-detection-0106.xml -d CPU Model: Person Detection FP32 - Device: CPU pts/openvino-1.1.0 -m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU Model: Face Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU pts/openvino-1.1.0 -m models/intel/machine-translation-nar-en-de-0002/FP16/machine-translation-nar-en-de-0002.xml -d CPU Model: Machine Translation EN To DE FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml -d CPU Model: Person Vehicle Bike Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/age-gender-recognition-retail-0013/FP16-INT8/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU pts/openvino-1.1.0 -m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16 - Device: CPU pts/redis-1.4.0 -t set -c 50 Test: SET - Parallel Connections: 50 pts/openvino-1.1.0 -m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU pts/openvino-1.1.0 -m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - Device: CPU pts/openvino-1.1.0 -m models/intel/weld-porosity-detection-0001/FP16-INT8/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16-INT8 - Device: CPU pts/openradioss-1.0.0 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/ffmpeg-3.0.0 --encoder=libx265 live Encoder: libx265 - Scenario: Live pts/xonotic-1.6.0 +vid_width 1920 +vid_height 1080 +exec effects-ultra.cfg Resolution: 1920 x 1080 - Effects Quality: Ultra pts/tensorflow-2.0.0 --device cpu --batch_size=64 --model=googlenet Device: CPU - Batch Size: 64 - Model: GoogLeNet pts/xmrig-1.1.0 -a rx/wow --bench=1M Variant: Wownero - Hash Count: 1M pts/deepsparse-1.0.1 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream pts/blender-3.3.1 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/xonotic-1.6.0 +vid_width 1920 +vid_height 1080 +exec effects-high.cfg Resolution: 1920 x 1080 - Effects Quality: High pts/redis-1.4.0 -t get -c 50 Test: GET - Parallel Connections: 50 pts/stress-ng-1.6.0 --cpu -1 --cpu-method all Test: CPU Stress pts/deepsparse-1.0.1 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.0.1 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario async Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Decompression Speed system/compress-zstd-1.5.0 -b19 Compression Level: 19 - Compression Speed pts/cloudsuite-ga-1.0.1 pts/xonotic-1.6.0 +vid_width 1920 +vid_height 1080 +exec effects-low.cfg Resolution: 1920 x 1080 - Effects Quality: Low pts/encodec-1.0.1 -b 3 Target Bandwidth: 3 kbps pts/build-linux-kernel-1.14.0 defconfig Build: defconfig pts/stress-ng-1.6.0 --atomic -1 Test: Atomic pts/stress-ng-1.6.0 --futex -1 Test: Futex system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Decompression Speed system/compress-zstd-1.5.0 -b19 --long Compression Level: 19, Long Mode - Compression Speed pts/stress-ng-1.6.0 --qsort -1 Test: Glibc Qsort Data Sorting pts/deepsparse-1.0.1 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.0.1 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.0.1 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream system/gimp-1.1.3 resize Test: resize system/rawtherapee-1.0.1 Total Benchmark Time pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/hackbench-1.0.0 32 process Count: 32 - Type: Process pts/build-wasmer-1.2.0 Time To Compile pts/stress-ng-1.6.0 --str -1 Test: Glibc C String Functions pts/stress-ng-1.6.0 --mutex -1 Test: Mutex pts/stress-ng-1.6.0 --memfd -1 Test: MEMFD pts/stress-ng-1.6.0 --sem -1 Test: Semaphores pts/stress-ng-1.6.0 --numa -1 Test: NUMA pts/stress-ng-1.6.0 --memcpy -1 Test: Memory Copying pts/stress-ng-1.6.0 --sendfile -1 Test: SENDFILE pts/stress-ng-1.6.0 --vecmath -1 Test: Vector Math pts/ffmpeg-3.0.0 --encoder=libx264 live Encoder: libx264 - Scenario: Live pts/encodec-1.0.1 -b 24 Target Bandwidth: 24 kbps pts/encodec-1.0.1 -b 6 Target Bandwidth: 6 kbps pts/srsran-1.2.0 lib/test/phy/phy_dl_test -p 100 -s 20000 -m 27 -t 4 -q Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM pts/encodec-1.0.1 -b 1.5 Target Bandwidth: 1.5 kbps pts/tensorflow-2.0.0 --device cpu --batch_size=64 --model=alexnet Device: CPU - Batch Size: 64 - Model: AlexNet pts/jpegxl-decode-1.5.0 --num_reps=200 CPU Threads: All pts/srsran-1.2.0 lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28 -t 4 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM pts/srsran-1.2.0 lib/src/phy/dft/test/ofdm_test -N 2048 -n 100 -r 500000 Test: OFDM_Test pts/compress-7zip-1.10.0 Test: Decompression Rating pts/compress-7zip-1.10.0 Test: Compression Rating pts/hackbench-1.0.0 16 thread Count: 16 - Type: Thread pts/cloudsuite-ma-1.0.1 pts/hackbench-1.0.0 16 process Count: 16 - Type: Process system/gimp-1.1.3 unsharp-mask Test: unsharp-mask pts/srsran-1.2.0 lib/test/phy/phy_dl_test -p 100 -s 20000 -m 27 -t 1 -q Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM system/gimp-1.1.3 auto-levels Test: auto-levels pts/srsran-1.2.0 lib/test/phy/phy_dl_nr_test -P 52 -p 52 -m 28 -n 20000 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM system/gimp-1.1.3 rotate Test: rotate pts/srsran-1.2.0 lib/test/phy/phy_dl_test -p 100 -s 20000 -m 28 -t 1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM system/darktable-1.0.5 masskrug.NEF output.jpg --core -d perf --disable-opencl Test: Masskrug - Acceleration: CPU-only system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only system/darktable-1.0.5 server_room.NEF output.jpg --core -d perf --disable-opencl Test: Server Room - Acceleration: CPU-only pts/yquake2-1.3.0 +set vid_renderer gl3 +set r_anisotropic 16 +set r_msaa_samples 16 +set r_mode 21 Renderer: OpenGL 3.x - AF: On - MSAA: On - Resolution: 1920 x 1080 pts/yquake2-1.3.0 +set vid_renderer vk +set r_anisotropic 16 +set r_msaa_samples 16 +set r_mode 21 Renderer: Vulkan - AF: On - MSAA: On - Resolution: 1920 x 1080 system/darktable-1.0.5 server-rack.dng output.jpg --core -d perf --disable-opencl Test: Server Rack - Acceleration: CPU-only pts/ctx-clock-1.0.0 Context Switch Time pts/nginx-3.0.0 -c 4000 Connections: 4000 pts/hackbench-1.0.0 32 thread Count: 32 - Type: Thread pts/nginx-3.0.0 -c 1 Connections: 1 pts/nginx-3.0.0 -c 20 Connections: 20 pts/stress-ng-1.6.0 --rdrand -1 Test: x86_64 RdRand