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