tr 3970X OKtoberfest AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 B: Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 C: Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1603 BIOS), Chipset: AMD Starship/Matisse, Memory: 64GB, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160 GravityMark 1.72 Resolution: 1920 x 1080 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 101.4 |==================================================================== B . 101.3 |==================================================================== C . 101.3 |==================================================================== GravityMark 1.72 Resolution: 3840 x 2160 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 65.0 |===================================================================== B . 65.0 |===================================================================== C . 64.8 |===================================================================== SMHasher 2022-08-22 Hash: wyhash MiB/sec > Higher Is Better A . 23742.58 |================================================================= B . 23847.94 |================================================================= C . 23863.00 |================================================================= SMHasher 2022-08-22 Hash: wyhash cycles/hash < Lower Is Better A . 25.40 |==================================================================== B . 25.39 |==================================================================== C . 25.39 |==================================================================== SMHasher 2022-08-22 Hash: SHA3-256 MiB/sec > Higher Is Better A . 149.17 |================================================================== B . 147.68 |================================================================= C . 151.21 |=================================================================== SMHasher 2022-08-22 Hash: SHA3-256 cycles/hash < Lower Is Better A . 2577.96 |================================================================= B . 2624.50 |================================================================== C . 2560.27 |================================================================ SMHasher 2022-08-22 Hash: Spooky32 MiB/sec > Higher Is Better A . 14597.62 |================================================================= B . 14627.75 |================================================================= C . 14626.61 |================================================================= SMHasher 2022-08-22 Hash: Spooky32 cycles/hash < Lower Is Better A . 50.32 |==================================================================== B . 50.28 |==================================================================== C . 50.36 |==================================================================== SMHasher 2022-08-22 Hash: fasthash32 MiB/sec > Higher Is Better A . 6723.98 |================================================================== B . 6757.98 |================================================================== C . 6745.64 |================================================================== SMHasher 2022-08-22 Hash: fasthash32 cycles/hash < Lower Is Better A . 36.38 |==================================================================== B . 36.28 |==================================================================== C . 36.27 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash128 MiB/sec > Higher Is Better A . 16150.42 |================================================================= B . 16177.70 |================================================================= C . 16188.25 |================================================================= SMHasher 2022-08-22 Hash: FarmHash128 cycles/hash < Lower Is Better A . 62.43 |==================================================================== B . 62.17 |==================================================================== C . 62.23 |==================================================================== SMHasher 2022-08-22 Hash: t1ha2_atonce MiB/sec > Higher Is Better A . 15842.58 |================================================================= B . 15915.97 |================================================================= C . 15909.23 |================================================================= SMHasher 2022-08-22 Hash: t1ha2_atonce cycles/hash < Lower Is Better A . 34.27 |==================================================================== B . 34.24 |==================================================================== C . 34.24 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX MiB/sec > Higher Is Better A . 27816.28 |=============================================================== B . 28529.22 |================================================================= C . 27847.64 |=============================================================== SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX cycles/hash < Lower Is Better A . 42.25 |==================================================================== B . 41.19 |================================================================== C . 42.24 |==================================================================== SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 MiB/sec > Higher Is Better A . 67943.08 |================================================================= B . 68034.95 |================================================================= C . 68278.48 |================================================================= SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 cycles/hash < Lower Is Better A . 34.03 |==================================================================== B . 34.05 |==================================================================== C . 34.02 |==================================================================== SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI MiB/sec > Higher Is Better A . 38291.59 |================================================================= B . 37941.04 |================================================================ C . 38406.12 |================================================================= SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI cycles/hash < Lower Is Better A . 56.32 |==================================================================== B . 56.31 |==================================================================== C . 56.11 |==================================================================== OpenFOAM 10 Input: motorBike - Mesh Time Seconds < Lower Is Better A . 39.30 |==================================================================== B . 39.41 |==================================================================== C . 39.15 |==================================================================== OpenFOAM 10 Input: motorBike - Execution Time Seconds < Lower Is Better A . 65.62 |=================================================================== B . 66.85 |==================================================================== C . 65.85 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better A . 24.24 |=================================================================== B . 24.42 |==================================================================== C . 24.24 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better A . 93.88 |=================================================================== B . 94.65 |==================================================================== C . 93.40 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time Seconds < Lower Is Better A . 166.21 |=================================================================== B . 166.93 |=================================================================== C . 165.71 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time Seconds < Lower Is Better A . 1462.12 |================================================================== B . 1458.76 |================================================================== C . 1442.51 |================================================================= WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better A . 17.54 |=================================================================== B . 17.56 |==================================================================== C . 17.67 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better A . 11.15 |==================================================================== B . 10.96 |=================================================================== C . 11.00 |=================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better A . 1.53 |===================================================================== B . 1.51 |==================================================================== C . 1.52 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better A . 3.32 |=================================================================== B . 3.40 |==================================================================== C . 3.43 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better A . 0.61 |===================================================================== B . 0.60 |==================================================================== C . 0.61 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better A . 10.10 |================================================================ B . 9.94 |=============================================================== C . 10.80 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better A . 0.36 |===================================================================== B . 0.36 |===================================================================== C . 0.36 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better A . 0.18 |===================================================================== B . 0.18 |===================================================================== C . 0.18 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better A . 9.97 |=================================================================== B . 9.91 |=================================================================== C . 10.05 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better A . 0.04 |===================================================================== B . 0.04 |===================================================================== C . 0.04 |===================================================================== QuadRay 2022.05.25 Scene: 1 - Resolution: 4K FPS > Higher Is Better A . 14.58 |==================================================================== B . 14.64 |==================================================================== C . 14.51 |=================================================================== QuadRay 2022.05.25 Scene: 2 - Resolution: 4K FPS > Higher Is Better A . 7.00 |===================================================================== B . 6.99 |===================================================================== C . 6.93 |==================================================================== QuadRay 2022.05.25 Scene: 3 - Resolution: 4K FPS > Higher Is Better A . 5.76 |================================================================== B . 6.00 |===================================================================== C . 5.64 |================================================================= QuadRay 2022.05.25 Scene: 5 - Resolution: 4K FPS > Higher Is Better A . 1.61 |==================================================================== B . 1.63 |===================================================================== C . 1.61 |==================================================================== QuadRay 2022.05.25 Scene: 1 - Resolution: 1080p FPS > Higher Is Better A . 50.90 |======================================== B . 87.60 |==================================================================== C . 50.75 |======================================= QuadRay 2022.05.25 Scene: 2 - Resolution: 1080p FPS > Higher Is Better A . 25.89 |==================================================================== B . 16.13 |========================================== C . 25.30 |================================================================== QuadRay 2022.05.25 Scene: 3 - Resolution: 1080p FPS > Higher Is Better A . 21.46 |================================================================ B . 22.79 |==================================================================== C . 21.64 |================================================================= QuadRay 2022.05.25 Scene: 5 - Resolution: 1080p FPS > Higher Is Better A . 6.30 |=================================================================== B . 6.41 |===================================================================== C . 6.45 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 0.37 |===================================================================== B . 0.36 |=================================================================== C . 0.37 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 8.52 |===================================================================== B . 8.42 |==================================================================== C . 8.45 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 23.36 |==================================================================== B . 23.02 |=================================================================== C . 23.09 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 15.07 |==================================================================== B . 14.68 |================================================================== C . 15.07 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 31.24 |=================================================================== B . 30.80 |================================================================== C . 31.51 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 40.15 |==================================================================== B . 38.82 |================================================================== C . 40.22 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 39.70 |=================================================================== B . 38.96 |================================================================== C . 40.13 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 1.03 |===================================================================== B . 1.03 |===================================================================== C . 1.03 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 14.82 |==================================================================== B . 14.85 |==================================================================== C . 14.86 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 48.85 |==================================================================== B . 45.31 |=============================================================== C . 46.44 |================================================================= AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 34.96 |================================================================== B . 35.72 |==================================================================== C . 35.95 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 65.42 |=================================================================== B . 64.38 |================================================================== C . 66.49 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 77.25 |================================================================== B . 74.40 |=============================================================== C . 79.81 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 76.85 |================================================================== B . 74.59 |================================================================ C . 79.70 |==================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 1B Seconds < Lower Is Better A . 17.99 |==================================================================== B . 17.98 |==================================================================== C . 17.82 |=================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M Seconds < Lower Is Better A . 8.731 |=================================================================== B . 8.799 |==================================================================== C . 8.671 |=================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 1.39050 |================================================================ B . 1.43182 |================================================================== C . 1.40862 |================================================================= oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 4.24964 |================================================================= B . 4.31731 |================================================================== C . 4.18101 |================================================================ oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1.20598 |=============================================================== B . 1.22206 |=============================================================== C . 1.27340 |================================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 0.883551 |============================================================== B . 0.931572 |================================================================= C . 0.866963 |============================================================ oneDNN 2.7 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 5.37699 |================================================================== B . 5.29634 |================================================================= C . 5.37177 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 5.84631 |================================================================== B . 5.85962 |================================================================== C . 5.84923 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 2.69613 |================================================================== B . 2.68442 |================================================================== C . 2.67326 |================================================================= oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 5.95631 |================================================================== B . 5.96424 |================================================================== C . 5.89450 |================================================================= oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1.45583 |================================================================== B . 1.45333 |================================================================== C . 1.45554 |================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1.57136 |================================================================== B . 1.56973 |================================================================== C . 1.55066 |================================================================= oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 4146.32 |================================================================== B . 4163.94 |================================================================== C . 3938.47 |============================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 1253.43 |================================================================= B . 1271.04 |================================================================== C . 1261.02 |================================================================= oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 4128.92 |================================================================== B . 4152.91 |================================================================== C . 3967.53 |=============================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 1246.71 |================================================================ B . 1268.83 |================================================================= C . 1284.02 |================================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 4.09764 |============================================ B . 6.06747 |================================================================= C . 6.16202 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 4138.11 |================================================================= B . 4174.41 |================================================================== C . 3982.55 |=============================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 1279.10 |================================================================== B . 1283.20 |================================================================== C . 1262.45 |================================================================= oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 9.68930 |============================================================ B . 9.85821 |============================================================= C . 10.43720 |================================================================= oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better A . 18.04 |==================================================================== B . 18.02 |==================================================================== C . 17.92 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better A . 64.34 |=================================================================== B . 64.99 |==================================================================== C . 65.38 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better A . 143.36 |=================================================================== B . 143.11 |=================================================================== C . 143.50 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better A . 45.69 |==================================================================== B . 45.51 |=================================================================== C . 45.98 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better A . 13.25 |=================================================================== B . 13.39 |==================================================================== C . 13.46 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better A . 54.95 |==================================================================== B . 54.53 |=================================================================== C . 55.00 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better A . 18.26 |=================================================================== B . 18.32 |=================================================================== C . 18.57 |==================================================================== spaCy 3.4.1 Model: en_core_web_lg tokens/sec > Higher Is Better A . 12553 |=================================================================== B . 12523 |=================================================================== C . 12703 |==================================================================== spaCy 3.4.1 Model: en_core_web_trf tokens/sec > Higher Is Better A . 1681 |===================================================================== B . 1680 |===================================================================== C . 767 |=============================== Blender 3.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better A . 41.71 |=================================================================== B . 42.30 |==================================================================== C . 42.17 |==================================================================== Blender 3.3 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better A . 112.24 |=================================================================== B . 112.92 |=================================================================== C . 111.67 |================================================================== Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better A . 53.73 |=================================================================== B . 54.93 |==================================================================== C . 53.78 |=================================================================== Blender 3.3 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better A . 448.16 |=================================================================== B . 450.87 |=================================================================== C . 446.75 |================================================================== Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better A . 135.75 |================================================================= B . 139.13 |=================================================================== C . 135.83 |=================================================================