7601 2P May 2021 2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and Matrox G200eW3 on Ubuntu 19.10 via the Phoronix Test Suite. 1: Processor: 2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads), Motherboard: Dell 02MJ3T (1.2.5 BIOS), Chipset: AMD 17h, Memory: 504GB, Disk: 280GB INTEL SSDPED1D280GA + 120GB INTEL SSDSCKJB120G7R + 11 x 500GB Samsung SSD 860, Graphics: Matrox G200eW3, Monitor: VE228, Network: 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1600x1200 2: Processor: 2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads), Motherboard: Dell 02MJ3T (1.2.5 BIOS), Chipset: AMD 17h, Memory: 504GB, Disk: 280GB INTEL SSDPED1D280GA + 120GB INTEL SSDSCKJB120G7R + 11 x 500GB Samsung SSD 860, Graphics: Matrox G200eW3, Monitor: VE228, Network: 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1600x1200 toyBrot Fractal Generator 2020-11-18 Implementation: OpenMP ms < Lower Is Better 1 . 8405 |===================================================================== 2 . 8413 |===================================================================== toyBrot Fractal Generator 2020-11-18 Implementation: C++ Tasks ms < Lower Is Better 1 . 8916 |===================================================================== 2 . 8934 |===================================================================== toyBrot Fractal Generator 2020-11-18 Implementation: C++ Threads ms < Lower Is Better 1 . 7964 |===================================================================== 2 . 7893 |==================================================================== Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis Seconds < Lower Is Better 1 . 212.31 |=================================================================== 2 . 205.68 |================================================================= NWChem 7.0.2 Input: C240 Buckyball Seconds < Lower Is Better 1 . 2570.5 |================================================================== 2 . 2622.4 |=================================================================== QMCPACK 3.11 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better 1 . 61.65 |==================================================================== 2 . 46.18 |=================================================== Timed HMMer Search 3.3.2 Pfam Database Search Seconds < Lower Is Better 1 . 180.45 |============================================================ 2 . 203.19 |=================================================================== Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d Seconds < Lower Is Better 1 . 698.29 |=================================================================== 2 . 506.60 |================================================= Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Seconds < Lower Is Better 1 . 4.32549191 |=============================================================== 2 . 4.33265305 |=============================================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Seconds < Lower Is Better 1 . 17.32 |==================================================================== 2 . 17.31 |==================================================================== libgav1 0.16.3 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 62.87 |==================================================================== 2 . 62.80 |==================================================================== libgav1 0.16.3 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 26.12 |==================================================================== 2 . 26.27 |==================================================================== libgav1 0.16.3 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 75.09 |==================================================================== 2 . 72.97 |================================================================== libgav1 0.16.3 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 30.05 |=================================================================== 2 . 30.63 |==================================================================== GNU GMP GMPbench 6.2.1 Total Time GMPbench Score > Higher Is Better 1 . 3940.6 |=================================================================== 2 . 3941.6 |=================================================================== Xmrig 6.12.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better 1 . 12404.6 |=============================================================== 2 . 13080.6 |================================================================== Xmrig 6.12.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better 1 . 18556.7 |================================================================== 2 . 18152.4 |================================================================= Botan 2.17.3 Test: KASUMI MiB/s > Higher Is Better 1 . 73.26 |==================================================================== 2 . 73.24 |==================================================================== Botan 2.17.3 Test: KASUMI - Decrypt MiB/s > Higher Is Better 1 . 70.28 |==================================================================== 2 . 70.26 |==================================================================== Botan 2.17.3 Test: AES-256 MiB/s > Higher Is Better 1 . 4338.48 |================================================================== 2 . 4348.27 |================================================================== Botan 2.17.3 Test: AES-256 - Decrypt MiB/s > Higher Is Better 1 . 4397.86 |================================================================== 2 . 4395.37 |================================================================== Botan 2.17.3 Test: Twofish MiB/s > Higher Is Better 1 . 282.43 |=================================================================== 2 . 282.68 |=================================================================== Botan 2.17.3 Test: Twofish - Decrypt MiB/s > Higher Is Better 1 . 281.66 |=================================================================== 2 . 281.84 |=================================================================== Botan 2.17.3 Test: Blowfish MiB/s > Higher Is Better 1 . 345.30 |=================================================================== 2 . 345.23 |=================================================================== Botan 2.17.3 Test: Blowfish - Decrypt MiB/s > Higher Is Better 1 . 345.13 |=================================================================== 2 . 345.13 |=================================================================== Botan 2.17.3 Test: CAST-256 MiB/s > Higher Is Better 1 . 113.02 |=================================================================== 2 . 112.98 |=================================================================== Botan 2.17.3 Test: CAST-256 - Decrypt MiB/s > Higher Is Better 1 . 113.00 |=================================================================== 2 . 112.99 |=================================================================== Botan 2.17.3 Test: ChaCha20Poly1305 MiB/s > Higher Is Better 1 . 387.25 |=================================================================== 2 . 387.19 |=================================================================== Botan 2.17.3 Test: ChaCha20Poly1305 - Decrypt MiB/s > Higher Is Better 1 . 386.19 |=================================================================== 2 . 385.65 |=================================================================== LuaRadio 0.9.1 Test: Five Back to Back FIR Filters MiB/s > Higher Is Better 1 . 361.0 |=============================================================== 2 . 389.3 |==================================================================== LuaRadio 0.9.1 Test: FM Deemphasis Filter MiB/s > Higher Is Better 1 . 314.8 |==================================================================== 2 . 313.5 |==================================================================== LuaRadio 0.9.1 Test: Hilbert Transform MiB/s > Higher Is Better 1 . 75.2 |===================================================================== 2 . 75.2 |===================================================================== LuaRadio 0.9.1 Test: Complex Phase MiB/s > Higher Is Better 1 . 460.2 |==================================================================== 2 . 455.4 |=================================================================== LuxCoreRender 2.5 Scene: DLSC - Acceleration: CPU M samples/sec > Higher Is Better 1 . 6.01 |===================================================================== 2 . 5.91 |==================================================================== LuxCoreRender 2.5 Scene: Danish Mood - Acceleration: CPU M samples/sec > Higher Is Better 1 . 3.06 |================================================================== 2 . 3.21 |===================================================================== LuxCoreRender 2.5 Scene: Orange Juice - Acceleration: CPU M samples/sec > Higher Is Better 1 . 9.43 |===================================================================== 2 . 9.46 |===================================================================== LuxCoreRender 2.5 Scene: LuxCore Benchmark - Acceleration: CPU M samples/sec > Higher Is Better 1 . 3.25 |===================================================================== 2 . 3.03 |================================================================ LuxCoreRender 2.5 Scene: Rainbow Colors and Prism - Acceleration: CPU M samples/sec > Higher Is Better 1 . 10.08 |=============================================================== 2 . 10.89 |==================================================================== dav1d 0.8.2 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 653.19 |================================================================ 2 . 679.21 |=================================================================== dav1d 0.8.2 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 271.90 |=================================================================== 2 . 266.76 |================================================================== dav1d 0.8.2 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 652.16 |================================================================== 2 . 664.94 |=================================================================== dav1d 0.8.2 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 169.63 |=================================================================== 2 . 170.17 |=================================================================== AOM AV1 3.1 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 0.1 |====================================================================== 2 . 0.1 |====================================================================== AOM AV1 3.1 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 2.55 |=================================================================== 2 . 2.63 |===================================================================== AOM AV1 3.1 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 11.45 |==================================================================== 2 . 10.80 |================================================================ AOM AV1 3.1 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 5.14 |===================================================================== 2 . 5.15 |===================================================================== AOM AV1 3.1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 28.07 |==================================================================== 2 . 26.49 |================================================================ AOM AV1 3.1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 32.25 |==================================================================== 2 . 32.35 |==================================================================== AOM AV1 3.1 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 0.25 |================================================================== 2 . 0.26 |===================================================================== AOM AV1 3.1 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 3.74 |===================================================================== 2 . 3.74 |===================================================================== AOM AV1 3.1 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 17.83 |================================================================== 2 . 18.42 |==================================================================== AOM AV1 3.1 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 11.90 |================================================================= 2 . 12.53 |==================================================================== AOM AV1 3.1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 69.26 |==================================================================== 2 . 67.95 |=================================================================== AOM AV1 3.1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 77.69 |==================================================================== 2 . 77.30 |==================================================================== SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 25.49 |=================================================================== 2 . 25.84 |==================================================================== SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 127.31 |======================================================== 2 . 152.59 |=================================================================== SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 169.06 |=================================================== 2 . 221.73 |=================================================================== SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 139.64 |=================================================================== 2 . 126.51 |============================================================= SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 128.09 |=================================================================== 2 . 125.13 |================================================================= SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 119.05 |================================================================== 2 . 120.33 |=================================================================== Stockfish 13 Total Time Nodes Per Second > Higher Is Better 1 . 86531216 |============================================================== 2 . 91100623 |================================================================= libavif avifenc 0.9.0 Encoder Speed: 0 Seconds < Lower Is Better 1 . 85.29 |==================================================================== 2 . 84.10 |=================================================================== libavif avifenc 0.9.0 Encoder Speed: 2 Seconds < Lower Is Better 1 . 45.85 |================================================================== 2 . 47.59 |==================================================================== libavif avifenc 0.9.0 Encoder Speed: 6 Seconds < Lower Is Better 1 . 16.30 |================================================================== 2 . 16.80 |==================================================================== libavif avifenc 0.9.0 Encoder Speed: 10 Seconds < Lower Is Better 1 . 5.083 |==================================================================== 2 . 4.766 |================================================================ libavif avifenc 0.9.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better 1 . 42.88 |================================================================= 2 . 44.79 |==================================================================== libavif avifenc 0.9.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better 1 . 8.465 |==================================================================== 2 . 8.353 |=================================================================== Timed Linux Kernel Compilation 5.10.20 Time To Compile Seconds < Lower Is Better 1 . 32.04 |=================================================================== 2 . 32.31 |==================================================================== Timed LLVM Compilation 12.0 Build System: Ninja Seconds < Lower Is Better 1 . 191.50 |=================================================================== 2 . 189.71 |================================================================== Timed LLVM Compilation 12.0 Build System: Unix Makefiles Seconds < Lower Is Better 1 . 279.29 |=================================================================== 2 . 277.20 |================================================================== Timed Node.js Compilation 15.11 Time To Compile Seconds < Lower Is Better 1 . 140.98 |=================================================================== 2 . 137.98 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.85496 |================================================================== 2 . 3.65351 |=============================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 20.08 |==================================================================== 2 . 20.13 |==================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4.13332 |================================================================== 2 . 3.93964 |=============================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4.24893 |================================================================== 2 . 4.22622 |================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 17.42 |=========================================================== 2 . 20.19 |==================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 20.57 |==================================================================== 2 . 20.46 |==================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 5.76619 |================================================================== 2 . 5.75340 |================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 28.83 |==================================================================== 2 . 28.87 |==================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.55592 |================================================================= 2 . 2.60517 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.51847 |================================================================== 2 . 2.51975 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4689.43 |================================================================== 2 . 4517.56 |================================================================ oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4511.26 |================================================================== 2 . 4492.88 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4508.41 |================================================================== 2 . 3997.86 |=========================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4397.13 |============================================================= 2 . 4740.63 |================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.41145 |================================================================ 2 . 2.47377 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4578.78 |================================================================== 2 . 4552.97 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4108.80 |========================================================= 2 . 4739.47 |================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.18907 |================================================================== 2 . 1.18902 |================================================================== Timed Erlang/OTP Compilation 23.2 Time To Compile Seconds < Lower Is Better 1 . 195.51 |=================================================================== 2 . 196.73 |=================================================================== Helsing 1.0-beta Digit Range: 14 digit Seconds < Lower Is Better 1 . 119.57 |=================================================================== 2 . 119.18 |=================================================================== Liquid-DSP 2021.01.31 Threads: 1 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 45474000 |================================================================= 2 . 45519000 |================================================================= Liquid-DSP 2021.01.31 Threads: 2 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 90532000 |================================================================= 2 . 90716000 |================================================================= Liquid-DSP 2021.01.31 Threads: 4 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 180910000 |================================================================ 2 . 180670000 |================================================================ Liquid-DSP 2021.01.31 Threads: 8 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 360540000 |================================================================ 2 . 359320000 |================================================================ Liquid-DSP 2021.01.31 Threads: 16 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 701200000 |================================================================ 2 . 703580000 |================================================================ Liquid-DSP 2021.01.31 Threads: 32 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 1233500000 |============================================================== 2 . 1251500000 |=============================================================== Liquid-DSP 2021.01.31 Threads: 64 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 2369000000 |=============================================================== 2 . 2025100000 |====================================================== Liquid-DSP 2021.01.31 Threads: 128 - Buffer Length: 256 - Filter Length: 57 samples/s > Higher Is Better 1 . 2690100000 |=============================================================== 2 . 2694300000 |=============================================================== libjpeg-turbo tjbench 2.1.0 Test: Decompression Throughput Megapixels/sec > Higher Is Better 1 . 134.60 |=================================================================== 2 . 134.62 |=================================================================== Basis Universal 1.13 Settings: ETC1S Seconds < Lower Is Better 1 . 38.33 |==================================================================== 2 . 38.39 |==================================================================== Basis Universal 1.13 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 9.578 |=================================================================== 2 . 9.672 |==================================================================== Basis Universal 1.13 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 15.13 |==================================================================== 2 . 15.06 |==================================================================== Basis Universal 1.13 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 20.66 |==================================================================== 2 . 20.69 |==================================================================== KTX-Software toktx 4.0 Settings: UASTC 3 Seconds < Lower Is Better 1 . 6.516 |==================================================================== 2 . 6.444 |=================================================================== KTX-Software toktx 4.0 Settings: Zstd Compression 9 Seconds < Lower Is Better 1 . 3.952 |================================================================== 2 . 4.050 |==================================================================== KTX-Software toktx 4.0 Settings: Zstd Compression 19 Seconds < Lower Is Better 1 . 29.39 |==================================================================== 2 . 29.33 |==================================================================== KTX-Software toktx 4.0 Settings: UASTC 3 + Zstd Compression 19 Seconds < Lower Is Better 1 . 14.54 |=================================================================== 2 . 14.76 |==================================================================== KTX-Software toktx 4.0 Settings: UASTC 4 + Zstd Compression 19 Seconds < Lower Is Better 1 . 83.44 |==================================================================== 2 . 83.56 |==================================================================== Google Draco 1.4.1 Model: Lion ms < Lower Is Better 1 . 7503 |===================================================================== 2 . 7512 |===================================================================== Google Draco 1.4.1 Model: Church Facade ms < Lower Is Better 1 . 10405 |================================================================== 2 . 10641 |==================================================================== WRF 4.2.2 Input: conus 2.5km Seconds < Lower Is Better 1 . 16951.03 |================================================================= 2 . 14948.41 |========================================================= Mobile Neural Network 1.1.3 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 13.83 |================================================================= 2 . 14.40 |==================================================================== Mobile Neural Network 1.1.3 Model: resnet-v2-50 ms < Lower Is Better 1 . 54.53 |==================================================================== 2 . 51.16 |================================================================ Mobile Neural Network 1.1.3 Model: MobileNetV2_224 ms < Lower Is Better 1 . 9.438 |=================================================================== 2 . 9.605 |==================================================================== Mobile Neural Network 1.1.3 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 5.784 |==================================================================== 2 . 5.780 |==================================================================== Mobile Neural Network 1.1.3 Model: inception-v3 ms < Lower Is Better 1 . 64.39 |=================================================================== 2 . 65.16 |==================================================================== Sysbench 1.0.20 Test: RAM / Memory MiB/sec > Higher Is Better 1 . 3881.63 |================================================================= 2 . 3938.35 |================================================================== Sysbench 1.0.20 Test: CPU Events Per Second > Higher Is Better 1 . 89937.71 |================================================================= 2 . 89945.00 |================================================================= Blender 2.92 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 1 . 41.62 |==================================================================== 2 . 41.88 |==================================================================== Blender 2.92 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better 1 . 104.09 |=================================================================== 2 . 104.07 |=================================================================== Blender 2.92 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better 1 . 66.51 |================================================================== 2 . 68.26 |==================================================================== Blender 2.92 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better 1 . 188.88 |=================================================================== 2 . 188.76 |=================================================================== Blender 2.92 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better 1 . 133.66 |=================================================================== 2 . 133.79 |=================================================================== PJSIP 2.11 Method: INVITE Responses Per Second > Higher Is Better 1 . 2656 |================================================================== 2 . 2773 |===================================================================== PJSIP 2.11 Method: OPTIONS, Stateful Responses Per Second > Higher Is Better 1 . 5209 |===================================================================== 2 . 4544 |============================================================ PJSIP 2.11 Method: OPTIONS, Stateless Responses Per Second > Higher Is Better 1 . 20487 |==================================================================== 2 . 20382 |====================================================================