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
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.
,,"Linux 6.0","Linux 6.1 Git"
Processor,,AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads),AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)
Motherboard,,ASUS ROG CROSSHAIR X670E HERO (0703 BIOS),ASUS ROG CROSSHAIR X670E HERO (0703 BIOS)
Chipset,,AMD Device 14d8,AMD Device 14d8
Memory,,32GB,32GB
Disk,,1000GB Sabrent Rocket 4.0 Plus,1000GB Sabrent Rocket 4.0 Plus
Graphics,,AMD Radeon RX 6800 16GB (2475/1000MHz),AMD Radeon RX 6800 16GB (2475/1000MHz)
Audio,,AMD Navi 21/23,AMD Navi 21/23
Monitor,,ASUS MG28U,ASUS MG28U
Network,,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS,,Ubuntu 22.10,Ubuntu 22.10
Kernel,,6.0.0-060000-generic (x86_64),6.1.0-060100rc3daily20221103-generic (x86_64)
Desktop,,GNOME Shell 43.0,GNOME Shell 43.0
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.48),4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.49)
Vulkan,,1.3.224,1.3.224
Compiler,,GCC 12.2.0,GCC 12.2.0
File-System,,ext4,ext4
Screen Resolution,,3840x2160,3840x2160
,,"Linux 6.0","Linux 6.1 Git"
"Redis - Test: GET - Parallel Connections: 50 (Reqs/sec)",HIB,5431831.2,4590364.3
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,40501146.22,36347605.82
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,620.85,678.95
"JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,284.21,308.92
"Stress-NG - Test: Forking (Bogo Ops/s)",HIB,98404.14,91714.84
"Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,12677.7,13556.1
"GIMP - Test: unsharp-mask (sec)",LIB,14.313,13.622
"GIMP - Test: rotate (sec)",LIB,10.423,9.927
"JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,1.11,1.06
"GIMP - Test: auto-levels (sec)",LIB,11.712,11.196
"nginx - Connections: 1000 (Reqs/sec)",HIB,150107.43,156698.41
"Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,423.7,406.0
"Stress-NG - Test: Futex (Bogo Ops/s)",HIB,4513526.65,4329454.86
"Darktable - Test: Masskrug - Acceleration: CPU-only (sec)",LIB,2.879,2.768
"nginx - Connections: 500 (Reqs/sec)",HIB,165462.13,171914.46
"ClickHouse - 100M Rows Web Analytics Dataset, First Run / Cold Cache (Queries/min, Geo Mean)",HIB,276.09,286.55
"nginx - Connections: 200 (Reqs/sec)",HIB,171549.00,178016.25
"GIMP - Test: resize (sec)",LIB,13.781,13.297
"RawTherapee - Total Benchmark Time (sec)",LIB,35.866,34.620
"memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 10:1 (Ops/sec)",HIB,3205780.38,3300830.03
"CloudSuite In-Memory Analytics - (ms)",LIB,12425,12781
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.36,0.35
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,610.4,627.3
"nginx - Connections: 100 (Reqs/sec)",HIB,172626.83,177285.54
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,610.1,626.5
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,654.6,670.7
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,539956.84,527214.96
"Darktable - Test: Server Room - Acceleration: CPU-only (sec)",LIB,2.490,2.432
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,389.82,381.28
"Darktable - Test: Server Rack - Acceleration: CPU-only (sec)",LIB,0.186,0.182
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,182.7330,186.6611
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,43.7680,42.8472
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,233.3,238.1
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,81.8540,83.4925
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,255.2,260.3
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,97.7093,95.8184
"ClickHouse - 100M Rows Web Analytics Dataset, Second Run (Queries/min, Geo Mean)",HIB,294.15,299.35
"Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,373.80,380.40
"JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,12.50,12.71
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,663.3,673.3
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,246.5,250.1
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,58.34,59.19
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,136.99,135.03
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,56.01,55.21
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,211.4,208.4
"CloudSuite Graph Analytics - (ms)",LIB,11432,11591
"Hackbench - Count: 16 - Type: Process (sec)",LIB,15.098,15.307
"memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,3435234.18,3482262.86
"srsRAN - Test: OFDM_Test (Samples / Second)",HIB,238366667,241466667
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,412280,417506
"Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,13642692.61,13815310.32
"Zstd Compression - Compression Level: 19 - Compression Speed (MB/s)",HIB,76.1,77.0
"yquake2 - Renderer: OpenGL 3.x - AF: On - MSAA: On - Resolution: 1920 x 1080 (FPS)",HIB,2398.2,2370.5
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,212953.36,215387.60
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,59804.30,60486.03
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,95.0104,96.0884
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,84.1890,83.2453
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,143.7,142.1
"memtier_benchmark - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,3739917.20,3781036.42
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,4847776.89,4900729.54
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,182.34,180.41
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,248.0,250.6
"Zstd Compression - Compression Level: 19 - Decompression Speed (MB/s)",HIB,4721.7,4771.2
"ClickHouse - 100M Rows Web Analytics Dataset, Third Run (Queries/min, Geo Mean)",HIB,292.96,296.01
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,43244.95,43693.53
"FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,110.138068606,109.021505892
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,22.93,23.16
"memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,3767434.05,3805057.15
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,560.78,555.43
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,290.5406,293.2148
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,27.5227,27.2717
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,14.21,14.34
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,40.980,40.639
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,10.53,10.61
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,179168,180502
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,46.70,47.04
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,5.57,5.53
"FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,162.19,161.041187128
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,2869.70,2890.08
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,758.75,753.57
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,1293.88,1285.22
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,1678.79,1668.10
"SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,35.602,35.830
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,3465310.79,3443439.15
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,4.76,4.79
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,63011.01,63398.11
"EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,29.244,29.421
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,44354.28,44621.22
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,117.40,118.09
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,1419.09,1427.41
"FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,43.01,42.77
"Hackbench - Count: 16 - Type: Thread (sec)",LIB,15.611,15.696
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,5.63,5.60
"EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,25.146,25.280
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,50.08,49.83
"GravityMark - Resolution: 1920 x 1080 - Renderer: OpenGL (FPS)",HIB,179.6,180.5
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,70.32,70.67
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,107.72,107.188031298
"Darktable - Test: Boat - Acceleration: CPU-only (sec)",LIB,2.474,2.462
"Timed Node.js Compilation - Time To Compile (sec)",LIB,259.699,258.498
"EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,24.790,24.904
"Hackbench - Count: 32 - Type: Process (sec)",LIB,32.983,33.133
"FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,70.32,70.63
"FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,107.721203767,107.249294960
"EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,24.144,24.249
"Zstd Compression - Compression Level: 19, Long Mode - Compression Speed (MB/s)",HIB,48.1,47.9
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,640.7982,638.1627
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,141.52,142.08
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,695.9548967,693.3119722
"Zstd Compression - Compression Level: 19, Long Mode - Decompression Speed (MB/s)",HIB,4877.7,4860.0
"Timed Gem5 Compilation - Time To Compile (sec)",LIB,193.312,192.611
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,19952.4,20024.7
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,12.4159,12.4594
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,643.6487,641.4289
"TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,432.98,434.46
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,109.0426,109.4003
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,73.3504,73.1124
"JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,12.93,12.97
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,12.3732,12.4105
"Timed Wasmer Compilation - Time To Compile (sec)",LIB,32.792,32.885
"GravityMark - Resolution: 1920 x 1080 - Renderer: Vulkan (FPS)",HIB,179.3,178.8
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,129424.60,129777.48
"OpenRadioss - Model: Bumper Beam (sec)",LIB,85.24,85.02
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,161.83,161.434335265
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,183031,183471
"TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,138.71,139.04
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,46.81,46.92
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.35,4.34
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,143300.47,143624.28
"Timed LLVM Compilation - Build System: Ninja (sec)",LIB,262.404,261.815
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,342.20,342.92
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,1838.28,1842.14
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,654.2978580,653.0427319
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: Ultimate (FPS)",HIB,523.2314373,522.3233533
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,43.90,43.97
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,161.27,161.06
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1058.53,1057.38
"TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,44.42,44.46
"Xonotic - Resolution: 1920 x 1080 - Effects Quality: Low (FPS)",HIB,863.4356108,862.7283275
"memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 10:1 (Ops/sec)",HIB,3318686.52,3315970.14
"FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,137.73,137.841764653
"yquake2 - Renderer: Vulkan - AF: On - MSAA: On - Resolution: 1920 x 1080 (FPS)",HIB,1387,1388
"FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,16.56,16.57
"FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,18.33,18.32
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,7713.88,7717.99
"FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,304.87,304.76
"memtier_benchmark - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 (Ops/sec)",HIB,3550038.77,3551129.05
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1080.94,1080.65
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,285.08,285.02
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,62.29,62.30
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.25,0.25
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,28.02,28.02
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,7.37,7.37
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,7.52,7.52
"ctx_clock - Context Switch Time (Clocks)",LIB,180,180
"Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Medium (FPS)",HIB,409.8,409.8
"nginx - Connections: 4000 (Reqs/sec)",HIB,,
"nginx - Connections: 20 (Reqs/sec)",HIB,,
"nginx - Connections: 1 (Reqs/sec)",HIB,,
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,11046939.98,29509613.95
"Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,9717203.23,9288451.36
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,4837.93,4378.58
"Stress-NG - Test: x86_64 RdRand ()",,,
"Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,10188.88,12962.32
"Redis - Test: SET - Parallel Connections: 50 (Reqs/sec)",HIB,3691080.00,3921247.98
"Hackbench - Count: 32 - Type: Thread (sec)",LIB,,
"JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.99,0.86
"Unvanquished - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,433.3,404.5