bergamo extra Tests for a future article. AMD EPYC 9384X 32-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite. E: Processor: AMD EPYC 9384X 32-Core @ 3.91GHz (32 Cores / 64 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 F: Processor: AMD EPYC 9384X 32-Core @ 3.91GHz (32 Cores / 64 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 Stress-NG 0.16.04 Test: Hash Bogo Ops/s > Higher Is Better E . 7179982.15 |=============================================================== F . 7192739.29 |=============================================================== Stress-NG 0.16.04 Test: MMAP Bogo Ops/s > Higher Is Better E . 625.09 |=================================================================== F . 609.72 |================================================================= Stress-NG 0.16.04 Test: NUMA Bogo Ops/s > Higher Is Better E . 647.21 |=================================================================== F . 645.72 |=================================================================== Stress-NG 0.16.04 Test: Pipe Bogo Ops/s > Higher Is Better E . 18207317.96 |========================================================= F . 19946044.78 |============================================================== Stress-NG 0.16.04 Test: Poll Bogo Ops/s > Higher Is Better E . 4343727.88 |=============================================================== F . 4271308.93 |============================================================== Stress-NG 0.16.04 Test: Zlib Bogo Ops/s > Higher Is Better E . 3889.71 |================================================================== F . 3893.79 |================================================================== Stress-NG 0.16.04 Test: Futex Bogo Ops/s > Higher Is Better E . 2852066.71 |=============================================================== F . 2717400.09 |============================================================ Stress-NG 0.16.04 Test: MEMFD Bogo Ops/s > Higher Is Better E . 415.36 |=================================================================== F . 411.49 |================================================================== Stress-NG 0.16.04 Test: Mutex Bogo Ops/s > Higher Is Better E . 23255699.79 |============================================================== F . 22935233.04 |============================================================= Stress-NG 0.16.04 Test: Atomic Bogo Ops/s > Higher Is Better E . 247.05 |=================================================================== F . 246.37 |=================================================================== Stress-NG 0.16.04 Test: Crypto Bogo Ops/s > Higher Is Better E . 79338.51 |================================================================= F . 79616.41 |================================================================= Stress-NG 0.16.04 Test: Malloc Bogo Ops/s > Higher Is Better E . 159403243.38 |============================================================= F . 158836969.43 |============================================================= Stress-NG 0.16.04 Test: Cloning Bogo Ops/s > Higher Is Better E . 6870.08 |========================================================= F . 7924.08 |================================================================== Stress-NG 0.16.04 Test: Forking Bogo Ops/s > Higher Is Better E . 26368.36 |================================================================= F . 26317.30 |================================================================= Stress-NG 0.16.04 Test: Pthread Bogo Ops/s > Higher Is Better E . 104885.48 |================================================================ F . 104500.93 |================================================================ Stress-NG 0.16.04 Test: AVL Tree Bogo Ops/s > Higher Is Better E . 693.33 |=================================================================== F . 694.87 |=================================================================== Stress-NG 0.16.04 Test: IO_uring Bogo Ops/s > Higher Is Better E . 5064110.48 |=============================================================== F . 5015105.12 |============================================================== Stress-NG 0.16.04 Test: SENDFILE Bogo Ops/s > Higher Is Better E . 649786.78 |============================================================== F . 675353.65 |================================================================ Stress-NG 0.16.04 Test: CPU Cache Bogo Ops/s > Higher Is Better E . 1117509.74 |=============================================================== F . 1117723.88 |=============================================================== Stress-NG 0.16.04 Test: CPU Stress Bogo Ops/s > Higher Is Better E . 76099.17 |================================================================= F . 76433.87 |================================================================= Stress-NG 0.16.04 Test: Semaphores Bogo Ops/s > Higher Is Better E . 81406001.02 |============================================================== F . 78775153.73 |============================================================ Stress-NG 0.16.04 Test: Matrix Math Bogo Ops/s > Higher Is Better E . 166863.57 |================================================================ F . 166859.04 |================================================================ Stress-NG 0.16.04 Test: Vector Math Bogo Ops/s > Higher Is Better E . 214246.51 |================================================================ F . 214233.97 |================================================================ Stress-NG 0.16.04 Test: AVX-512 VNNI Bogo Ops/s > Higher Is Better E . 4093266.57 |=============================================================== F . 3473026.51 |===================================================== Stress-NG 0.16.04 Test: Function Call Bogo Ops/s > Higher Is Better E . 25044.49 |================================================================= F . 25183.91 |================================================================= Stress-NG 0.16.04 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better E . 11942773.88 |============================================================== F . 11878217.33 |============================================================== Stress-NG 0.16.04 Test: Floating Point Bogo Ops/s > Higher Is Better E . 11457.56 |================================================================= F . 11511.71 |================================================================= Stress-NG 0.16.04 Test: Matrix 3D Math Bogo Ops/s > Higher Is Better E . 28914.23 |================================================================= F . 28742.76 |================================================================= Stress-NG 0.16.04 Test: Memory Copying Bogo Ops/s > Higher Is Better E . 12746.29 |================================================================= F . 12744.05 |================================================================= Stress-NG 0.16.04 Test: Vector Shuffle Bogo Ops/s > Higher Is Better E . 24688.71 |================================================================= F . 24689.76 |================================================================= Stress-NG 0.16.04 Test: Mixed Scheduler Bogo Ops/s > Higher Is Better E . 33179.00 |================================================================= F . 33150.73 |================================================================= Stress-NG 0.16.04 Test: Socket Activity Bogo Ops/s > Higher Is Better E . 31093.74 |================================================================= F . 31108.14 |================================================================= Stress-NG 0.16.04 Test: Wide Vector Math Bogo Ops/s > Higher Is Better E . 1415448.85 |=============================================================== F . 1409726.96 |=============================================================== Stress-NG 0.16.04 Test: Context Switching Bogo Ops/s > Higher Is Better E . 14202532.49 |============================================================== F . 14196798.48 |============================================================== Stress-NG 0.16.04 Test: Fused Multiply-Add Bogo Ops/s > Higher Is Better E . 30155491.73 |============================================================== F . 30114608.52 |============================================================== Stress-NG 0.16.04 Test: Vector Floating Point Bogo Ops/s > Higher Is Better E . 101972.69 |================================================================ F . 101749.29 |================================================================ Stress-NG 0.16.04 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better E . 31352208.83 |============================================================= F . 31613431.85 |============================================================== Stress-NG 0.16.04 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better E . 818.41 |=================================================================== F . 818.44 |=================================================================== Stress-NG 0.16.04 Test: System V Message Passing Bogo Ops/s > Higher Is Better E . 7967662.12 |=============================================================== F . 7980751.91 |=============================================================== OpenSSL 3.1 Algorithm: SHA256 byte/s > Higher Is Better E . 48327010260 |============================================================== F . 48277353550 |============================================================== OpenSSL 3.1 Algorithm: SHA512 byte/s > Higher Is Better E . 15424545380 |============================================================== F . 15419482790 |============================================================== OpenSSL 3.1 Algorithm: AES-128-GCM byte/s > Higher Is Better E . 350368000140 |============================================================= F . 351016588900 |============================================================= OpenSSL 3.1 Algorithm: AES-256-GCM byte/s > Higher Is Better E . 301537503100 |============================================================= F . 301560675530 |============================================================= OpenSSL 3.1 Algorithm: ChaCha20 byte/s > Higher Is Better E . 190340976640 |============================================================= F . 190276666710 |============================================================= OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better E . 133613467510 |============================================================= F . 133611469760 |============================================================= miniFE 2.2 Problem Size: Small CG Mflops > Higher Is Better E . 57367.1 |================================================================== F . 57438.2 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better E . 5.285 |=================================================================== F . 5.348 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better E . 68.74 |====================================================== F . 86.17 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better E . 161.63 |================================================================== F . 163.27 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better E . 161.79 |=================================================================== F . 162.46 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better E . 13.54 |=================================================================== F . 13.67 |==================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better E . 141.11 |=================================================================== F . 139.80 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better E . 515.85 |=================================================================== F . 505.01 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better E . 615.96 |=================================================================== F . 605.26 |================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better E . 69.99 |==================================================================== F . 70.00 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better E . 73.29 |==================================================================== F . 72.72 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better E . 162.16 |=================================================================== F . 161.28 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better E . 224.67 |=================================================================== F . 223.65 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better E . 263.45 |================================================================== F . 266.37 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better E . 22.70 |=================================================================== F . 22.93 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better E . 23.49 |==================================================================== F . 23.49 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better E . 48.90 |==================================================================== F . 48.77 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better E . 61.87 |==================================================================== F . 61.71 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better E . 72.57 |==================================================================== F . 72.53 |==================================================================== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better E . 981.1 |==================================================================== F . 967.1 |=================================================================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better E . 1246.6 |=================================================================== F . 1244.0 |=================================================================== ASKAP 1.0 Test: Hogbom Clean OpenMP Iterations Per Second > Higher Is Better E . 1149.43 |================================================================== F . 1149.43 |================================================================== ASKAP 1.0 Test: tConvolve OpenMP - Gridding Million Grid Points Per Second > Higher Is Better E . 22188.0 |================================================================== F . 20481.2 |============================================================= ASKAP 1.0 Test: tConvolve OpenMP - Degridding Million Grid Points Per Second > Higher Is Better E . 33282 |==================================================================== F . 33282 |==================================================================== ASKAP 1.0 Test: tConvolve MT - Gridding Million Grid Points Per Second > Higher Is Better E . 11262.6 |================================================================== F . 11330.0 |================================================================== ASKAP 1.0 Test: tConvolve MT - Degridding Million Grid Points Per Second > Higher Is Better E . 15576.2 |================================================================== F . 15633.4 |================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better E . 301517 |=================================================================== F . 302670 |=================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better E . 248227 |=================================================================== F . 246009 |================================================================== ASKAP 1.0 Test: tConvolve MPI - Degridding Mpix/sec > Higher Is Better E . 23854.1 |================================================================== F . 23854.1 |================================================================== ASKAP 1.0 Test: tConvolve MPI - Gridding Mpix/sec > Higher Is Better E . 30870.1 |================================================================== F . 30870.1 |================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better E . 588587.22 |============================================================== F . 603375.23 |================================================================ Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better E . 1016068.17 |=============================================================== F . 955839.49 |=========================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better E . 902188.66 |================================================================ F . 862346.98 |============================================================= Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better E . 1244290.54 |=============================================================== F . 1144274.29 |========================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better E . 1178643.97 |============================================================== F . 1193616.95 |=============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better E . 1408314.28 |============================================================= F . 1445916.13 |=============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better E . 38111412.39 |============================================================ F . 39129510.65 |============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better E . 52556675.96 |============================================================ F . 54498343.71 |============================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better E . 47100474.32 |========================================================== F . 50016758.44 |============================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better E . 49539921.59 |============================================================= F . 50107256.21 |============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better E . 60821535.47 |============================================================== F . 60811785.77 |============================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better E . 67181470.11 |=========================================================== F . 71000860.09 |============================================================== OpenSSL 3.1 Algorithm: RSA4096 sign/s > Higher Is Better E . 17152.6 |================================================================== F . 17202.9 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better E . 130842.77 |================================================================ F . 130890.96 |================================================================ NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better E . 4107.38 |================================================================== F . 4134.38 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better E . 3555.93 |======================================================== F . 4177.87 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better E . 91806.30 |================================================================= F . 91355.37 |================================================================= NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better E . 195117.13 |================================================================ F . 188290.63 |============================================================== NAS Parallel Benchmarks 3.4 Test / Class: SP.B Total Mop/s > Higher Is Better E . 119825.49 |================================================================ F . 119401.29 |================================================================ NAS Parallel Benchmarks 3.4 Test / Class: SP.C Total Mop/s > Higher Is Better E . 105770.90 |================================================================ F . 105402.56 |================================================================ NAS Parallel Benchmarks 3.4 Test / Class: IS.D Total Mop/s > Higher Is Better E . 4202.57 |================================================================= F . 4255.49 |================================================================== NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better E . 121134.91 |================================================================ F . 114790.76 |============================================================= NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better E . 47029.42 |============================================================== F . 49017.63 |================================================================= OpenSSL 3.1 Algorithm: RSA4096 verify/s > Higher Is Better E . 549644.5 |================================================================= F . 549345.8 |================================================================= Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency < Lower Is Better E . 20.42 |==================================================================== F . 19.58 |================================================================= Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency < Lower Is Better E . 35.56 |============================================================== F . 38.71 |==================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency < Lower Is Better E . 15.3 |================================================================= F . 16.3 |===================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency < Lower Is Better E . 33.33 |============================================================== F . 36.74 |==================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency < Lower Is Better E . 13.94 |==================================================================== F . 13.70 |=================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency < Lower Is Better E . 32.07 |==================================================================== F . 31.43 |=================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency < Lower Is Better E . 37.95 |==================================================================== F . 36.79 |================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency < Lower Is Better E . 78.92 |==================================================================== F . 76.47 |================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency < Lower Is Better E . 35.05 |==================================================================== F . 32.66 |=============================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency < Lower Is Better E . 92.91 |==================================================================== F . 91.03 |=================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency < Lower Is Better E . 29.07 |=================================================================== F . 29.37 |==================================================================== Apache IoTDB 1.1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency < Lower Is Better E . 70.79 |==================================================================== F . 65.16 |=============================================================== NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better E . 17.40 |==================================================================== F . 17.26 |=================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better E . 8.31 |===================================================================== F . 8.27 |===================================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better E . 8.49 |===================================================================== F . 8.48 |===================================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better E . 10.01 |==================================================================== F . 9.92 |=================================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better E . 7.43 |===================================================================== F . 7.44 |===================================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better E . 10.74 |==================================================================== F . 10.67 |==================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better E . 4.13 |===================================================================== F . 4.03 |=================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better E . 20.67 |==================================================================== F . 20.55 |==================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better E . 26.04 |=================================================================== F . 26.57 |==================================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better E . 9.07 |===================================================================== F . 9.12 |===================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better E . 5.91 |===================================================================== F . 5.87 |===================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better E . 17.90 |==================================================================== F . 18.01 |==================================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better E . 26.35 |==================================================================== F . 26.32 |==================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better E . 16.55 |==================================================================== F . 16.41 |=================================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better E . 24.53 |==================================================================== F . 24.30 |=================================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better E . 45.00 |=================================================================== F . 45.62 |==================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better E . 12.67 |==================================================================== F . 12.59 |==================================================================== libavif avifenc 1.0 Encoder Speed: 0 Seconds < Lower Is Better E . 72.29 |==================================================================== F . 72.60 |==================================================================== libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better E . 38.12 |==================================================================== F . 37.94 |==================================================================== libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better E . 2.867 |==================================================================== F . 2.857 |==================================================================== libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better E . 5.650 |==================================================================== F . 5.611 |==================================================================== libavif avifenc 1.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better E . 4.082 |==================================================================== F . 4.085 |==================================================================== Timed Godot Game Engine Compilation 4.0 Time To Compile Seconds < Lower Is Better E . 112.55 |=================================================================== F . 112.62 |=================================================================== Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better E . 31.94 |==================================================================== F . 32.07 |==================================================================== Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better E . 334.20 |=================================================================== F . 333.56 |=================================================================== Timed Mesa Compilation 21.0 Time To Compile Seconds < Lower Is Better E . 17.53 |==================================================================== F . 17.53 |==================================================================== Timed Node.js Compilation 19.8.1 Time To Compile Seconds < Lower Is Better E . 171.75 |=================================================================== F . 171.15 |=================================================================== Timed Gem5 Compilation 21.2 Time To Compile Seconds < Lower Is Better E . 155.59 |=================================================================== F . 155.67 |=================================================================== Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better E . 39.98 |==================================================================== F . 40.01 |==================================================================== Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better E . 101.62 |=================================================================== F . 101.45 |=================================================================== Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better E . 49.68 |==================================================================== F . 49.79 |==================================================================== Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better E . 124.16 |=================================================================== F . 123.67 |=================================================================== Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better E . 355.80 |=================================================================== F . 355.94 |=================================================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction Seconds < Lower Is Better E . 3.76278901 |============================================================== F . 3.82253599 |=============================================================== Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction Seconds < Lower Is Better E . 12.37 |==================================================================== F . 12.26 |=================================================================== Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d Seconds < Lower Is Better E . 426.74 |=================================================================== F . 422.49 |==================================================================