12400 march Intel Core i5-12400 testing with a MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS) and MSI Intel ADL-S GT1 14GB on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads), Motherboard: MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: Western Digital WD_BLACK SN750 SE 500GB, Graphics: MSI Intel ADL-S GT1 14GB (1450MHz), Audio: Realtek ALC897, Monitor: DELL S2409W, Network: Intel I225-V + Intel Device 7af0 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads), Motherboard: MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: Western Digital WD_BLACK SN750 SE 500GB, Graphics: MSI Intel ADL-S GT1 14GB (1450MHz), Audio: Realtek ALC897, Monitor: DELL S2409W, Network: Intel I225-V + Intel Device 7af0 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads), Motherboard: MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: Western Digital WD_BLACK SN750 SE 500GB, Graphics: MSI Intel ADL-S GT1 14GB (1450MHz), Audio: Realtek ALC897, Monitor: DELL S2409W, Network: Intel I225-V + Intel Device 7af0 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 RocksDB 7.9.2 Test: Random Fill Sync Op/s > Higher Is Better a . 1351 |============================= b . 1239 |=========================== c . 3193 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 188.71 |========================================================== b . 217.46 |=================================================================== c . 124.51 |====================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 4252 |============================================== b . 3679 |======================================== c . 6425 |===================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2437.96 |======================================== b . 2403.19 |======================================== c . 4000.34 |================================================================== SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 88.43 |==================================================================== b . 69.57 |===================================================== c . 68.86 |===================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 4070 |============================================================== b . 3652 |======================================================== c . 4518 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 246.31 |============================================================ b . 273.84 |=================================================================== c . 221.36 |====================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 70.83 |=================================================================== b . 58.96 |======================================================== c . 71.63 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 42.34 |========================================================= b . 50.84 |==================================================================== c . 41.87 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 20.14 |================================================================== b . 16.97 |======================================================== c . 20.61 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 49.64 |========================================================= b . 58.91 |==================================================================== c . 48.52 |======================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 27.97 |============================================================ b . 31.54 |==================================================================== c . 26.79 |========================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 143.21 |================================================================ b . 126.78 |========================================================= c . 149.21 |=================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better a . 17.32 |============================================================ b . 19.30 |=================================================================== c . 19.61 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 1.5 kbps Seconds < Lower Is Better a . 36.92 |============================================================= b . 41.03 |==================================================================== c . 38.71 |================================================================ VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 12.18 |================================================================= b . 11.57 |============================================================== c . 12.69 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 128 ops/s > Higher Is Better a . 176.4 |==================================================================== b . 161.5 |============================================================== c . 161.5 |============================================================== KeyDB 6.3.2 Test: SET - Parallel Connections: 100 Requests Per Second > Higher Is Better a . 1069422.99 |=========================================================== b . 1146000.38 |=============================================================== c . 1049912.88 |========================================================== KeyDB 6.3.2 Test: GET - Parallel Connections: 100 Requests Per Second > Higher Is Better a . 1283175.58 |========================================================== b . 1382055.38 |=============================================================== c . 1273333.88 |========================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 22.02 |==================================================================== b . 20.44 |=============================================================== c . 22.15 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 136.27 |============================================================== b . 146.72 |=================================================================== c . 135.43 |============================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.52665 |================================================================== b . 1.41538 |============================================================= c . 1.40930 |============================================================= AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 0.50 |================================================================ b . 0.54 |===================================================================== c . 0.54 |===================================================================== Cpuminer-Opt 3.20.3 Algorithm: Blake-2 S kH/s > Higher Is Better a . 282207 |============================================================== b . 302980 |=================================================================== c . 295250 |================================================================= Cpuminer-Opt 3.20.3 Algorithm: x25x kH/s > Higher Is Better a . 344.30 |=============================================================== b . 367.28 |=================================================================== c . 368.41 |=================================================================== EnCodec 0.1.1 Target Bandwidth: 6 kbps Seconds < Lower Is Better a . 38.52 |================================================================ b . 41.18 |==================================================================== c . 40.12 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 18438 |================================================================ b . 19200 |================================================================== c . 19710 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.15 |================================================================= b . 0.16 |===================================================================== c . 0.16 |===================================================================== EnCodec 0.1.1 Target Bandwidth: 3 kbps Seconds < Lower Is Better a . 38.66 |================================================================ b . 38.38 |================================================================ c . 40.90 |==================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand Seconds < Lower Is Better a . 155.27 |=================================================================== b . 145.95 |=============================================================== c . 146.45 |=============================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 48.80 |================================================================ b . 51.90 |==================================================================== c . 51.73 |==================================================================== RocksDB 7.9.2 Test: Update Random Op/s > Higher Is Better a . 629944 |================================================================ b . 624540 |=============================================================== c . 664157 |=================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 12.73 |==================================================================== b . 12.02 |================================================================ c . 12.25 |================================================================= KeyDB 6.3.2 Test: LPUSH - Parallel Connections: 50 Requests Per Second > Higher Is Better a . 1323318.97 |=============================================================== b . 1252473.62 |============================================================ c . 1317870.38 |=============================================================== Stress-NG 0.15.04 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 1220179.93 |============================================================ b . 1273002.92 |============================================================== c . 1288214.51 |=============================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency ms < Lower Is Better a . 3797.31 |=============================================================== b . 4001.54 |================================================================== c . 3967.37 |================================================================= Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 74.10 |================================================================= b . 78.04 |==================================================================== c . 76.88 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 40.47 |==================================================================== b . 38.43 |================================================================= c . 39.01 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 38.34 |================================================================== b . 37.64 |================================================================= c . 39.60 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 26.09 |=================================================================== b . 26.57 |==================================================================== c . 25.25 |================================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Write TPS > Higher Is Better a . 263 |====================================================================== b . 250 |=================================================================== c . 252 |=================================================================== KeyDB 6.3.2 Test: HMSET - Parallel Connections: 100 Requests Per Second > Higher Is Better a . 361525.21 |================================================================ b . 360477.28 |================================================================ c . 343680.41 |============================================================= KeyDB 6.3.2 Test: SADD - Parallel Connections: 100 Requests Per Second > Higher Is Better a . 1148270.29 |============================================================= b . 1137811.75 |============================================================ c . 1193659.25 |=============================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.393 |==================================================================== b . 1.329 |================================================================= c . 1.368 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 359165 |================================================================ b . 376302 |=================================================================== c . 365485 |================================================================= Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 16.45 |================================================================= b . 17.22 |==================================================================== c . 17.13 |==================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better a . 133.73 |================================================================= b . 130.95 |================================================================ c . 137.07 |=================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 256 ops/s > Higher Is Better a . 181.6 |==================================================================== b . 173.6 |================================================================= c . 173.8 |================================================================= Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 27.83 |================================================================= b . 29.11 |==================================================================== c . 28.85 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency ms < Lower Is Better a . 2891.94 |================================================================ b . 2861.27 |=============================================================== c . 2990.05 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Write TPS > Higher Is Better a . 277 |===================================================================== b . 280 |====================================================================== c . 268 |=================================================================== KeyDB 6.3.2 Test: LPUSH - Parallel Connections: 100 Requests Per Second > Higher Is Better a . 976117.59 |============================================================= b . 1010733.94 |=============================================================== c . 967773.12 |============================================================ PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 3.031 |==================================================================== b . 2.903 |================================================================= c . 3.025 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 263950 |================================================================ b . 275540 |=================================================================== c . 264500 |================================================================ PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1561.27 |================================================================== b . 1536.86 |================================================================= c . 1495.63 |=============================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Only TPS > Higher Is Better a . 394526 |================================================================ b . 407921 |================================================================== c . 411468 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.634 |==================================================================== b . 0.613 |================================================================== c . 0.608 |================================================================= oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.09853 |================================================================== b . 3.93260 |=============================================================== c . 3.95246 |================================================================ JPEG XL Decoding libjxl 0.7 CPU Threads: All MP/s > Higher Is Better a . 217.33 |================================================================ b . 226.31 |=================================================================== c . 225.63 |=================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 GFInst/s > Higher Is Better a . 244.49 |================================================================ b . 254.51 |=================================================================== c . 254.31 |=================================================================== EnCodec 0.1.1 Target Bandwidth: 24 kbps Seconds < Lower Is Better a . 44.56 |=================================================================== b . 43.53 |================================================================= c . 45.31 |==================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM1 Billion Interactions/s > Higher Is Better a . 9.780 |================================================================ b . 10.180 |=================================================================== c . 10.172 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 321 |=================================================================== b . 325 |==================================================================== c . 334 |====================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency ms < Lower Is Better a . 2.606 |=================================================================== b . 2.654 |==================================================================== c . 2.552 |================================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 800 - Mode: Read Only TPS > Higher Is Better a . 307018 |================================================================== b . 301467 |================================================================ c . 313503 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Garlicoin kH/s > Higher Is Better a . 1836.59 |=============================================================== b . 1908.99 |================================================================== c . 1895.32 |================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better a . 130.84 |================================================================= b . 129.64 |================================================================ c . 134.75 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 241540 |=================================================================== b . 240426 |=================================================================== c . 232445 |================================================================ Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 51.15 |================================================================== b . 52.80 |==================================================================== c . 50.82 |================================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 19.55 |==================================================================== b . 18.94 |================================================================= c . 19.68 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better a . 24.11 |================================================================= b . 25.05 |==================================================================== c . 24.96 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 4.141 |================================================================= b . 4.159 |================================================================== c . 4.302 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better a . 21.53 |================================================================== b . 22.34 |==================================================================== c . 22.14 |=================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 512 ops/s > Higher Is Better a . 25625.0 |================================================================== b . 24787.3 |================================================================ c . 25709.0 |================================================================== RocksDB 7.9.2 Test: Random Read Op/s > Higher Is Better a . 41614110 |=============================================================== b . 43152112 |================================================================= c . 42975995 |================================================================= Timed FFmpeg Compilation 6.0 Time To Compile Seconds < Lower Is Better a . 61.47 |==================================================================== b . 59.35 |================================================================== c . 59.45 |================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 6.065 |==================================================================== b . 5.893 |================================================================== c . 5.857 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 129.74 |=================================================================== b . 126.34 |================================================================= c . 125.31 |================================================================= CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 128 ops/s > Higher Is Better a . 20255.7 |================================================================== b . 19591.8 |================================================================ c . 19566.6 |================================================================ VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 20.16 |================================================================== b . 20.86 |==================================================================== c . 20.59 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 23.14 |================================================================== b . 23.74 |=================================================================== c . 23.94 |==================================================================== RocksDB 7.9.2 Test: Sequential Fill Op/s > Higher Is Better a . 1502792 |================================================================== b . 1511361 |================================================================== c . 1461566 |================================================================ PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better a . 258.43 |================================================================== b . 260.58 |=================================================================== c . 252.00 |================================================================= Stress-NG 0.15.04 Test: Forking Bogo Ops/s > Higher Is Better a . 54276.34 |================================================================= b . 52494.81 |=============================================================== c . 54204.65 |================================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Write TPS > Higher Is Better a . 387 |==================================================================== b . 384 |==================================================================== c . 397 |====================================================================== SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 2.185 |================================================================== b . 2.257 |==================================================================== c . 2.250 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Only TPS > Higher Is Better a . 617706 |================================================================= b . 624238 |================================================================== c . 638011 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 20.38 |================================================================== b . 21.04 |==================================================================== c . 20.92 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.162 |==================================================================== b . 0.160 |=================================================================== c . 0.157 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 65.12 |==================================================================== b . 64.23 |=================================================================== c . 63.14 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better a . 681.42 |================================================================= b . 702.48 |=================================================================== c . 697.89 |=================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Write TPS > Higher Is Better a . 367 |====================================================================== b . 356 |==================================================================== c . 358 |==================================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 ops/s > Higher Is Better a . 16123.0 |================================================================== b . 15644.6 |================================================================ c . 15733.0 |================================================================ Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 46.10 |================================================================== b . 46.70 |=================================================================== c . 47.50 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 43.25 |================================================================== b . 44.31 |==================================================================== c . 44.55 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand Seconds < Lower Is Better a . 175.13 |=================================================================== b . 170.95 |================================================================= c . 170.03 |================================================================= uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 16.99 |================================================================== b . 17.49 |==================================================================== c . 17.41 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 62.33 |================================================================== b . 64.10 |==================================================================== c . 64.13 |==================================================================== nekRS 22.0 Input: TurboPipe Periodic FLOP/s > Higher Is Better a . 29844655556 |============================================================ b . 30699700000 |============================================================== c . 30696900000 |============================================================== oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.50462 |================================================================== b . 2.45278 |================================================================= c . 2.43532 |================================================================ Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better a . 6.34 |=================================================================== b . 6.52 |===================================================================== c . 6.45 |==================================================================== CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 ops/s > Higher Is Better a . 52512.6 |================================================================== b . 51610.2 |================================================================= c . 51080.3 |================================================================ Stress-NG 0.15.04 Test: Pthread Bogo Ops/s > Higher Is Better a . 128698.01 |============================================================== b . 130862.38 |=============================================================== c . 132268.72 |================================================================ Embree 4.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 8.4875 |================================================================= b . 8.7189 |=================================================================== c . 8.6301 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 91.19 |==================================================================== b . 88.78 |================================================================== c . 90.16 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 32.89 |================================================================== b . 33.78 |==================================================================== c . 33.26 |=================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better a . 4.11 |=================================================================== b . 4.22 |===================================================================== c . 4.20 |===================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Live Seconds < Lower Is Better a . 21.05 |=================================================================== b . 20.87 |================================================================== c . 21.42 |==================================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 256 ops/s > Higher Is Better a . 30043.8 |================================================================== b . 30151.3 |================================================================== c . 29377.9 |================================================================ OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.17 |==================================================================== b . 1.18 |===================================================================== c . 1.15 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 239.86 |================================================================== b . 241.95 |=================================================================== c . 235.80 |================================================================= AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 31.69 |=================================================================== b . 31.54 |================================================================== c . 32.35 |==================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 7.21 |=================================================================== b . 7.39 |===================================================================== c . 7.28 |==================================================================== Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed MB/s > Higher Is Better a . 12.6 |===================================================================== b . 12.3 |=================================================================== c . 12.4 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 13.25 |================================================================== b . 13.57 |==================================================================== c . 13.50 |==================================================================== KeyDB 6.3.2 Test: HMSET - Parallel Connections: 50 Requests Per Second > Higher Is Better a . 511218.21 |=============================================================== b . 518247.50 |================================================================ c . 506124.09 |=============================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 5.6401 |================================================================= b . 5.7386 |=================================================================== c . 5.7729 |=================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 13.98 |================================================================== b . 14.30 |==================================================================== c . 14.24 |==================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 5560.27 |================================================================= b . 5661.39 |================================================================== c . 5687.23 |================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better a . 32.53 |================================================================== b . 33.27 |==================================================================== c . 33.22 |==================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.541 |==================================================================== b . 0.529 |================================================================== c . 0.537 |=================================================================== nginx 1.23.2 Connections: 20 Requests Per Second > Higher Is Better a . 62961.45 |================================================================ b . 64372.01 |================================================================= c . 64314.45 |================================================================= oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4329.65 |================================================================== b . 4234.91 |================================================================= c . 4253.17 |================================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 250 - Mode: Read Only TPS > Higher Is Better a . 462071 |================================================================== b . 472171 |=================================================================== c . 465619 |================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 MP/s > Higher Is Better a . 7.79 |==================================================================== b . 7.89 |==================================================================== c . 7.96 |===================================================================== Embree 4.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 9.3366 |================================================================== b . 9.5395 |=================================================================== c . 9.4820 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 530.84 |=================================================================== b . 522.76 |================================================================== c . 519.66 |================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 552.79 |=================================================================== b . 541.21 |================================================================== c . 549.42 |=================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 80 MP/s > Higher Is Better a . 8.05 |==================================================================== b . 8.19 |===================================================================== c . 8.22 |===================================================================== libavif avifenc 0.11 Encoder Speed: 2 Seconds < Lower Is Better a . 88.25 |==================================================================== b . 87.04 |=================================================================== c . 86.43 |=================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 256 ops/s > Higher Is Better a . 34782.8 |================================================================== b . 34070.8 |================================================================= c . 34301.1 |================================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 5.6434 |================================================================== b . 5.6888 |================================================================== c . 5.7586 |=================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 MP/s > Higher Is Better a . 7.93 |==================================================================== b . 8.06 |===================================================================== c . 8.09 |===================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 512 ops/s > Higher Is Better a . 177.4 |==================================================================== b . 177.3 |==================================================================== c . 173.9 |=================================================================== libavif avifenc 0.11 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 13.46 |=================================================================== b . 13.72 |==================================================================== c . 13.73 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.12 |==================================================================== b . 5.22 |===================================================================== c . 5.17 |==================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.06 |===================================================================== b . 1.04 |==================================================================== c . 1.04 |==================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 90 MP/s > Higher Is Better a . 7.94 |==================================================================== b . 8.09 |===================================================================== c . 8.09 |===================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 32151.8 |================================================================== b . 32001.2 |================================================================== c . 31560.1 |================================================================= PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only TPS > Higher Is Better a . 289205 |=================================================================== b . 284352 |================================================================== c . 283973 |================================================================== PostgreSQL 15 Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency ms < Lower Is Better a . 3.458 |=================================================================== b . 3.517 |==================================================================== c . 3.521 |==================================================================== oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 10.37 |=================================================================== b . 10.56 |==================================================================== c . 10.43 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 530.18 |=================================================================== b . 526.96 |=================================================================== c . 520.95 |================================================================== Xmrig 6.18.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a . 2901.8 |================================================================== b . 2943.7 |=================================================================== c . 2952.3 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 38.89 |=================================================================== b . 39.20 |==================================================================== c . 38.53 |=================================================================== ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better a . 112.08 |================================================================== b . 114.01 |=================================================================== c . 112.44 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Ringcoin kH/s > Higher Is Better a . 1560.09 |================================================================= b . 1583.58 |================================================================== c . 1586.86 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Skeincoin kH/s > Higher Is Better a . 47853 |=================================================================== b . 48410 |==================================================================== c . 48670 |==================================================================== VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 2.696 |=================================================================== b . 2.742 |==================================================================== c . 2.725 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better a . 6.53 |==================================================================== b . 6.64 |===================================================================== c . 6.60 |===================================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.20219 |================================================================== b . 1.19925 |================================================================== c . 1.18228 |================================================================= CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 512 ops/s > Higher Is Better a . 35029.4 |================================================================== b . 34456.3 |================================================================= c . 34933.3 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2438.21 |================================================================== b . 2398.62 |================================================================= c . 2410.16 |================================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.185 |==================================================================== b . 0.182 |=================================================================== c . 0.184 |==================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 184.37 |=================================================================== b . 182.53 |================================================================== c . 185.48 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 95.57 |=================================================================== b . 96.58 |==================================================================== c . 95.09 |=================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 128 ops/s > Higher Is Better a . 9270.5 |=================================================================== b . 9148.7 |================================================================== c . 9128.1 |================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: 1 MP/s > Higher Is Better a . 50.05 |=================================================================== b . 50.83 |==================================================================== c . 50.48 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only TPS > Higher Is Better a . 541410 |================================================================== b . 549838 |=================================================================== c . 544459 |================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Live Seconds < Lower Is Better a . 42.02 |=================================================================== b . 42.21 |=================================================================== c . 42.67 |==================================================================== Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better a . 1605.97 |================================================================== b . 1581.70 |================================================================= c . 1591.76 |================================================================= OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 21.68 |=================================================================== b . 21.87 |==================================================================== c . 21.54 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 120.17 |=================================================================== b . 119.65 |=================================================================== c . 118.36 |================================================================== CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 256 ops/s > Higher Is Better a . 49613.5 |================================================================== b . 49024.0 |================================================================= c . 49764.2 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 4334.97 |================================================================== b . 4270.75 |================================================================= c . 4291.98 |================================================================= Cpuminer-Opt 3.20.3 Algorithm: Magi kH/s > Higher Is Better a . 331.49 |=================================================================== b . 327.09 |================================================================== c . 326.58 |================================================================== OpenVKL 1.3.1 Benchmark: vklBenchmark Scalar Items / Sec > Higher Is Better a . 68 |====================================================================== b . 69 |======================================================================= c . 68 |====================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 MP/s > Higher Is Better a . 0.68 |==================================================================== b . 0.69 |===================================================================== c . 0.69 |===================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 100 MP/s > Higher Is Better a . 0.69 |==================================================================== b . 0.69 |==================================================================== c . 0.70 |===================================================================== OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 236.87 |=================================================================== b . 233.55 |================================================================== c . 235.09 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 32.73 |==================================================================== b . 32.29 |=================================================================== c . 32.28 |=================================================================== RocksDB 7.9.2 Test: Read Random Write Random Op/s > Higher Is Better a . 1546655 |================================================================= b . 1562812 |================================================================== c . 1568201 |================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 256 ops/s > Higher Is Better a . 17827.6 |================================================================== b . 17639.6 |================================================================= c . 17585.4 |================================================================= VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 7.977 |=================================================================== b . 8.085 |==================================================================== c . 8.020 |=================================================================== Zstd Compression 1.5.4 Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 1567.8 |================================================================== b . 1588.6 |=================================================================== c . 1583.6 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 11237 |==================================================================== b . 11090 |=================================================================== c . 11100 |=================================================================== uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better a . 4.58 |==================================================================== b . 4.64 |===================================================================== c . 4.62 |===================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 32.75 |==================================================================== b . 32.33 |=================================================================== c . 32.38 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 30.57 |=================================================================== b . 30.96 |==================================================================== c . 30.97 |==================================================================== Stress-NG 0.15.04 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 101.42 |================================================================== b . 102.53 |=================================================================== c . 102.73 |=================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 3438.18 |================================================================== b . 3394.57 |================================================================= c . 3413.87 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 15.57 |==================================================================== b . 15.37 |=================================================================== c . 15.38 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 64.23 |=================================================================== b . 65.03 |==================================================================== c . 64.99 |==================================================================== SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 27.44 |=================================================================== b . 27.78 |==================================================================== c . 27.50 |=================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 123.26 |=================================================================== b . 121.82 |================================================================== c . 123.33 |=================================================================== nginx 1.23.2 Connections: 100 Requests Per Second > Higher Is Better a . 67993.52 |================================================================ b . 68835.78 |================================================================= c . 68707.49 |================================================================= oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 4341.92 |================================================================== b . 4289.21 |================================================================= c . 4303.62 |================================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 2.624567 |================================================================= b . 2.593242 |================================================================ c . 2.602950 |================================================================ Blender 3.4 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 172.01 |=================================================================== b . 169.97 |================================================================== c . 169.98 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 5.4650 |=================================================================== b . 5.4027 |================================================================== c . 5.4023 |================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 182.98 |================================================================== b . 185.09 |=================================================================== c . 185.10 |=================================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 3384.14 |================================================================== b . 3363.57 |================================================================= c . 3402.11 |================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.75 |==================================================================== b . 1.77 |===================================================================== c . 1.75 |==================================================================== libavif avifenc 0.11 Encoder Speed: 6 Seconds < Lower Is Better a . 9.175 |=================================================================== b . 9.277 |==================================================================== c . 9.268 |==================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 2.071669 |================================================================= b . 2.048931 |================================================================ c . 2.052660 |================================================================ AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 9.11 |==================================================================== b . 9.15 |===================================================================== c . 9.21 |===================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 8.41 |===================================================================== b . 8.32 |==================================================================== c . 8.35 |===================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 188.17 |================================================================== b . 190.20 |=================================================================== c . 189.32 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 31.87 |==================================================================== b . 31.53 |=================================================================== c . 31.68 |==================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.95 |===================================================================== b . 0.94 |==================================================================== c . 0.94 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 125.27 |=================================================================== b . 123.97 |================================================================== c . 123.95 |================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 7.9821 |================================================================== b . 8.0658 |=================================================================== c . 8.0666 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 139.13 |================================================================== b . 139.06 |================================================================== c . 140.47 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 712.70 |================================================================== b . 719.91 |=================================================================== c . 717.70 |=================================================================== Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed MB/s > Higher Is Better a . 198.4 |=================================================================== b . 199.8 |==================================================================== c . 200.4 |==================================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 512 ops/s > Higher Is Better a . 32781.2 |================================================================== b . 32901.1 |================================================================== c . 32572.9 |================================================================= Stress-NG 0.15.04 Test: NUMA Bogo Ops/s > Higher Is Better a . 244.13 |================================================================== b . 246.58 |=================================================================== c . 245.00 |=================================================================== OpenRadioss 2022.10.13 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a . 862.76 |=================================================================== b . 855.12 |================================================================== c . 854.21 |================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 2.743784 |================================================================= b . 2.722846 |================================================================= c . 2.717116 |================================================================ Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better a . 117.65 |================================================================== b . 117.84 |================================================================== c . 118.80 |=================================================================== oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 18.28 |==================================================================== b . 18.41 |==================================================================== c . 18.23 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Deepcoin kH/s > Higher Is Better a . 6392.10 |================================================================== b . 6428.90 |================================================================== c . 6368.98 |================================================================= SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 7.737 |=================================================================== b . 7.809 |==================================================================== c . 7.750 |=================================================================== Embree 4.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 9.6958 |================================================================== b . 9.7857 |=================================================================== c . 9.7544 |=================================================================== RocksDB 7.9.2 Test: Read While Writing Op/s > Higher Is Better a . 1518515 |================================================================= b . 1531157 |================================================================== c . 1532546 |================================================================== nginx 1.23.2 Connections: 200 Requests Per Second > Higher Is Better a . 61096.58 |================================================================ b . 61654.77 |================================================================= c . 61396.93 |================================================================= OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 276.78 |================================================================== b . 279.30 |=================================================================== c . 278.20 |=================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 14.44 |==================================================================== b . 14.31 |=================================================================== c . 14.37 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 60.81 |==================================================================== b . 61.24 |==================================================================== c . 60.69 |=================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 1.15 |==================================================================== b . 1.16 |===================================================================== c . 1.16 |===================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Platform Seconds < Lower Is Better a . 145.95 |=================================================================== b . 146.92 |=================================================================== c . 145.67 |================================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed MB/s > Higher Is Better a . 7.00 |==================================================================== b . 7.06 |===================================================================== c . 7.02 |===================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 51.90 |==================================================================== b . 51.56 |=================================================================== c . 52.00 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 107.91 |================================================================== b . 108.69 |=================================================================== c . 108.83 |=================================================================== nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better a . 41663.17 |================================================================ b . 42015.72 |================================================================= c . 42016.88 |================================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 1.398663 |================================================================= b . 1.387099 |================================================================ c . 1.392746 |================================================================= OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC Items / Sec > Higher Is Better a . 120 |===================================================================== b . 120 |===================================================================== c . 121 |====================================================================== AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 57.99 |=================================================================== b . 58.45 |==================================================================== c . 58.38 |==================================================================== Stress-NG 0.15.04 Test: Malloc Bogo Ops/s > Higher Is Better a . 5226456.99 |=============================================================== b . 5241054.32 |=============================================================== c . 5200128.82 |=============================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 2257.17 |================================================================== b . 2239.72 |================================================================= c . 2256.40 |================================================================== Scikit-Learn 1.1.3 Benchmark: TSNE MNIST Dataset Seconds < Lower Is Better a . 26.91 |==================================================================== b . 26.71 |=================================================================== c . 26.86 |==================================================================== Scikit-Learn 1.1.3 Benchmark: MNIST Dataset Seconds < Lower Is Better a . 90.15 |=================================================================== b . 90.82 |==================================================================== c . 90.84 |==================================================================== Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 11.06 |==================================================================== b . 11.14 |==================================================================== c . 11.11 |==================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better a . 80.01 |==================================================================== b . 79.81 |==================================================================== c . 79.41 |=================================================================== libavif avifenc 0.11 Encoder Speed: 0 Seconds < Lower Is Better a . 195.07 |=================================================================== b . 193.63 |=================================================================== c . 195.07 |=================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 GFInst/s > Higher Is Better a . 243.66 |=================================================================== b . 245.47 |=================================================================== c . 245.23 |=================================================================== miniBUDE 20210901 Implementation: OpenMP - Input Deck: BM2 Billion Interactions/s > Higher Is Better a . 9.747 |==================================================================== b . 9.819 |==================================================================== c . 9.809 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 1024 ops/s > Higher Is Better a . 177.4 |==================================================================== b . 177.4 |==================================================================== c . 176.1 |==================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2406.13 |================================================================== b . 2394.33 |================================================================== c . 2388.51 |================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 55.33 |==================================================================== b . 54.93 |==================================================================== c . 55.31 |==================================================================== AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 45.87 |==================================================================== b . 46.20 |==================================================================== c . 46.08 |==================================================================== Cpuminer-Opt 3.20.3 Algorithm: scrypt kH/s > Higher Is Better a . 110.87 |=================================================================== b . 111.65 |=================================================================== c . 111.66 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 88.60 |==================================================================== b . 88.45 |==================================================================== c . 89.08 |==================================================================== Stress-NG 0.15.04 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 2301.69 |================================================================== b . 2295.12 |================================================================== c . 2285.43 |================================================================== VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 5.76 |===================================================================== b . 5.72 |===================================================================== c . 5.73 |===================================================================== BRL-CAD 7.34 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 132931 |=================================================================== b . 132058 |=================================================================== c . 132368 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 77.95 |==================================================================== b . 77.80 |==================================================================== c . 77.44 |==================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 2.705122 |================================================================= b . 2.697438 |================================================================= c . 2.687449 |================================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 1.930960 |================================================================= b . 1.918443 |================================================================= c . 1.923352 |================================================================= OpenRadioss 2022.10.13 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 378.02 |=================================================================== b . 375.59 |=================================================================== c . 376.26 |=================================================================== Stress-NG 0.15.04 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 177365.84 |================================================================ b . 176973.24 |================================================================ c . 178115.64 |================================================================ OpenRadioss 2022.10.13 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 141.00 |=================================================================== b . 141.91 |=================================================================== c . 141.10 |=================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 348.49 |=================================================================== b . 347.83 |=================================================================== c . 346.34 |=================================================================== Embree 4.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 9.5706 |=================================================================== b . 9.6296 |=================================================================== c . 9.5837 |=================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 21.20 |==================================================================== b . 21.11 |==================================================================== c . 21.24 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 41.05 |==================================================================== b . 40.80 |==================================================================== c . 40.83 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Upload Seconds < Lower Is Better a . 119.13 |=================================================================== b . 119.63 |=================================================================== c . 118.90 |=================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 11.47 |==================================================================== b . 11.49 |==================================================================== c . 11.54 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 20.33 |==================================================================== b . 20.39 |==================================================================== c . 20.26 |==================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 49.18 |==================================================================== b . 49.03 |==================================================================== c . 49.33 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 40.17 |==================================================================== b . 40.32 |==================================================================== c . 40.08 |==================================================================== OpenEMS 0.0.35-86 Test: pyEMS Coupler MCells/s > Higher Is Better a . 39.72 |==================================================================== b . 39.86 |==================================================================== c . 39.95 |==================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 26050.8 |================================================================== b . 26158.4 |================================================================== c . 26199.1 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.00020 |================================================================== b . 2.01154 |================================================================== c . 2.01050 |================================================================== uvg266 0.4.1 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 67.09 |==================================================================== b . 67.46 |==================================================================== c . 67.36 |==================================================================== SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 81.45 |==================================================================== b . 81.40 |==================================================================== c . 81.02 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 43.37 |==================================================================== b . 43.60 |==================================================================== c . 43.37 |==================================================================== Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a . 5359.8 |=================================================================== b . 5362.5 |=================================================================== c . 5388.2 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 371.27 |=================================================================== b . 371.97 |=================================================================== c . 373.24 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 8.0798 |=================================================================== b . 8.0647 |=================================================================== c . 8.0373 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better a . 117.88 |=================================================================== b . 118.22 |=================================================================== c . 118.50 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 184.65 |=================================================================== b . 183.89 |=================================================================== c . 183.69 |=================================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 5.4154 |=================================================================== b . 5.4379 |=================================================================== c . 5.4437 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 13.50 |==================================================================== b . 13.43 |==================================================================== c . 13.45 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency ms < Lower Is Better a . 1.573 |==================================================================== b . 1.581 |==================================================================== c . 1.573 |==================================================================== Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1444.4 |=================================================================== b . 1451.7 |=================================================================== c . 1447.2 |=================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Only TPS > Higher Is Better a . 317872 |=================================================================== b . 316288 |=================================================================== c . 317863 |=================================================================== FFmpeg 6.0 Encoder: libx264 - Scenario: Upload Seconds < Lower Is Better a . 187.09 |=================================================================== b . 188.02 |=================================================================== c . 187.76 |=================================================================== Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed MB/s > Higher Is Better a . 202.6 |==================================================================== b . 203.6 |==================================================================== c . 203.6 |==================================================================== SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 348.11 |=================================================================== b . 348.91 |=================================================================== c . 347.22 |=================================================================== Stress-NG 0.15.04 Test: Mutex Bogo Ops/s > Higher Is Better a . 4254720.23 |=============================================================== b . 4273551.98 |=============================================================== c . 4254389.29 |=============================================================== SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 398.86 |=================================================================== b . 399.08 |=================================================================== c . 397.31 |=================================================================== Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 602.17 |=================================================================== b . 601.73 |=================================================================== c . 604.27 |=================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 6331.01 |================================================================== b . 6344.82 |================================================================== c . 6357.31 |================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better a . 74.79 |==================================================================== b . 74.73 |==================================================================== c . 75.04 |==================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 1.272677 |================================================================= b . 1.272057 |================================================================= c . 1.267444 |================================================================= Stress-NG 0.15.04 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 8216877.60 |=============================================================== b . 8225295.79 |=============================================================== c . 8192747.72 |=============================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 58.76 |==================================================================== b . 58.66 |==================================================================== c . 58.53 |==================================================================== Blender 3.4 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 1913.71 |================================================================== b . 1918.11 |================================================================== c . 1921.09 |================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 44.40 |==================================================================== b . 44.36 |==================================================================== c . 44.53 |==================================================================== FFmpeg 6.0 Encoder: libx265 - Scenario: Platform Seconds < Lower Is Better a . 170.61 |=================================================================== b . 170.76 |=================================================================== c . 170.11 |=================================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3.59719 |================================================================== b . 3.59364 |================================================================== c . 3.60705 |================================================================== Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed MB/s > Higher Is Better a . 869.3 |==================================================================== b . 866.5 |==================================================================== c . 866.1 |==================================================================== Zstd Compression 1.5.4 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 1592.6 |=================================================================== b . 1596.2 |=================================================================== c . 1598.4 |=================================================================== nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better a . 51922.48 |================================================================= b . 51890.45 |================================================================= c . 51737.26 |================================================================= GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better a . 0.852 |==================================================================== b . 0.851 |==================================================================== c . 0.849 |==================================================================== Stress-NG 0.15.04 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 45892.79 |================================================================= b . 46046.48 |================================================================= c . 45978.84 |================================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 Render Ratio > Higher Is Better a . 2.578599 |================================================================= b . 2.570597 |================================================================= c . 2.575363 |================================================================= OpenRadioss 2022.10.13 Model: Bumper Beam Seconds < Lower Is Better a . 187.49 |=================================================================== b . 187.53 |=================================================================== c . 188.06 |=================================================================== CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 512 ops/s > Higher Is Better a . 43281.7 |================================================================== b . 43180.1 |================================================================== c . 43303.9 |================================================================== Cpuminer-Opt 3.20.3 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 78157 |==================================================================== b . 77950 |==================================================================== c . 77940 |==================================================================== Blender 3.4 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 493.25 |=================================================================== b . 491.93 |=================================================================== c . 492.05 |=================================================================== Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed MB/s > Higher Is Better a . 1516.3 |=================================================================== b . 1512.3 |=================================================================== c . 1515.1 |=================================================================== Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed MB/s > Higher Is Better a . 77.1 |===================================================================== b . 77.2 |===================================================================== c . 77.3 |===================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast Frames Per Second > Higher Is Better a . 93.48 |==================================================================== b . 93.52 |==================================================================== c . 93.30 |==================================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 30338.7 |================================================================== b . 30358.1 |================================================================== c . 30286.7 |================================================================== Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better a . 170.8 |==================================================================== b . 171.1 |==================================================================== c . 170.7 |==================================================================== Stress-NG 0.15.04 Test: Zlib Bogo Ops/s > Higher Is Better a . 717.35 |=================================================================== b . 717.62 |=================================================================== c . 716.14 |=================================================================== Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better a . 100.6 |==================================================================== b . 100.5 |==================================================================== c . 100.7 |==================================================================== CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 40249.9 |================================================================== b . 40176.2 |================================================================== c . 40255.3 |================================================================== Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed MB/s > Higher Is Better a . 1758.9 |=================================================================== b . 1761.7 |=================================================================== c . 1762.2 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better a . 44.65 |==================================================================== b . 44.70 |==================================================================== c . 44.62 |==================================================================== Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better a . 34.46 |==================================================================== b . 34.52 |==================================================================== c . 34.50 |==================================================================== Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1727.9 |=================================================================== b . 1725.8 |=================================================================== c . 1728.6 |=================================================================== OpenEMS 0.0.35-86 Test: openEMS MSL_NotchFilter MCells/s > Higher Is Better a . 98.88 |==================================================================== b . 98.72 |==================================================================== c . 98.77 |==================================================================== Scikit-Learn 1.1.3 Benchmark: Sparse Random Projections, 100 Iterations Seconds < Lower Is Better a . 142.73 |=================================================================== b . 142.60 |=================================================================== c . 142.50 |=================================================================== Cpuminer-Opt 3.20.3 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 48250 |==================================================================== b . 48310 |==================================================================== c . 48320 |==================================================================== Blender 3.4 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 242.51 |=================================================================== b . 242.40 |=================================================================== c . 242.75 |=================================================================== oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 16.59 |==================================================================== b . 16.61 |==================================================================== c . 16.59 |==================================================================== Stress-NG 0.15.04 Test: Semaphores Bogo Ops/s > Higher Is Better a . 1189258.32 |=============================================================== b . 1190334.27 |=============================================================== c . 1188758.84 |=============================================================== Stress-NG 0.15.04 Test: Vector Math Bogo Ops/s > Higher Is Better a . 41733.97 |================================================================= b . 41733.47 |================================================================= c . 41779.98 |================================================================= Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed MB/s > Higher Is Better a . 1732.4 |=================================================================== b . 1733.2 |=================================================================== c . 1734.3 |=================================================================== Stress-NG 0.15.04 Test: Crypto Bogo Ops/s > Higher Is Better a . 14276.39 |================================================================= b . 14261.23 |================================================================= c . 14271.88 |================================================================= Stress-NG 0.15.04 Test: Hash Bogo Ops/s > Higher Is Better a . 1548492.99 |=============================================================== b . 1549710.05 |=============================================================== c . 1548182.16 |=============================================================== Stress-NG 0.15.04 Test: Poll Bogo Ops/s > Higher Is Better a . 823762.13 |================================================================ b . 823948.19 |================================================================ c . 823174.05 |================================================================ Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed MB/s > Higher Is Better a . 1619.4 |=================================================================== b . 1618.7 |=================================================================== c . 1620.2 |=================================================================== Embree 4.0 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 8.7102 |=================================================================== b . 8.7168 |=================================================================== c . 8.7124 |=================================================================== Stress-NG 0.15.04 Test: Function Call Bogo Ops/s > Higher Is Better a . 49787.62 |================================================================= b . 49807.05 |================================================================= c . 49784.19 |================================================================= Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better a . 248.2 |==================================================================== b . 248.1 |==================================================================== c . 248.2 |==================================================================== Stress-NG 0.15.04 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 17781.86 |================================================================= b . 17780.76 |================================================================= c . 17782.21 |================================================================= Stress-NG 0.15.04 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a . 81909.45 |================================================================= b . 81907.97 |================================================================= c . 81907.39 |================================================================= AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 13.31 |==================================================================== b . 13.31 |==================================================================== c . 13.31 |==================================================================== nginx 1.23.2 Connections: 1 Requests Per Second > Higher Is Better RocksDB 7.9.2 Test: Random Fill Op/s > Higher Is Better a . 846457 |=================================================== b . 866381 |==================================================== c . 1102439 |================================================================== Stress-NG 0.15.04 Test: Context Switching Bogo Ops/s > Higher Is Better a . 1897936.07 |============================================================== b . 1941869.46 |=============================================================== c . 1906264.57 |============================================================== Stress-NG 0.15.04 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 8703.54 |============================================================= b . 9385.83 |================================================================== c . 9379.73 |================================================================== Stress-NG 0.15.04 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 83.60 |================================================================ b . 89.50 |==================================================================== c . 72.10 |======================================================= Stress-NG 0.15.04 Test: IO_uring Bogo Ops/s > Higher Is Better a . 1965.75 |============================================= b . 1723.13 |======================================== c . 2856.89 |================================================================== Stress-NG 0.15.04 Test: Atomic Bogo Ops/s > Higher Is Better a . 146.11 |============================================================ b . 145.01 |============================================================ c . 162.65 |=================================================================== Stress-NG 0.15.04 Test: MEMFD Bogo Ops/s > Higher Is Better a . 58.57 |==================================================================== b . 41.65 |================================================ c . 52.99 |============================================================== Stress-NG 0.15.04 Test: Futex Bogo Ops/s > Higher Is Better a . 1579624.88 |========================================================== b . 1723742.38 |=============================================================== c . 1689762.38 |============================================================== Stress-NG 0.15.04 Test: MMAP Bogo Ops/s > Higher Is Better a . 74.70 |==================================================================== b . 50.26 |============================================== c . 49.73 |============================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency ms < Lower Is Better a . 113.08 |=================================================================== b . 103.71 |============================================================= c . 82.83 |================================================= PostgreSQL 15 Scaling Factor: 100 - Clients: 500 - Mode: Read Write TPS > Higher Is Better a . 4472 |=================================================== b . 4821 |======================================================= c . 6036 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better a . 60.80 |============================================================= b . 68.07 |==================================================================== c . 41.63 |========================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Write TPS > Higher Is Better a . 4148 |================================================ b . 3673 |========================================== c . 6005 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better a . 24.55 |==================================================================== b . 23.64 |================================================================= c . 19.60 |====================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write TPS > Higher Is Better a . 4114 |======================================================== b . 4230 |========================================================= c . 5102 |===================================================================== KeyDB 6.3.2 Test: LPOP - Parallel Connections: 100 Requests Per Second > Higher Is Better a . 1301994.00 |============================================================= b . 1336505.38 |=============================================================== c . 1303645.00 |============================================================= KeyDB 6.3.2 Test: SADD - Parallel Connections: 50 Requests Per Second > Higher Is Better a . 1345962.36 |============================================ b . 1920122.88 |=============================================================== c . 1225640.50 |======================================== KeyDB 6.3.2 Test: LPOP - Parallel Connections: 50 Requests Per Second > Higher Is Better a . 1403220.97 |======================================================== b . 1585238.25 |=============================================================== c . 1479465.00 |=========================================================== KeyDB 6.3.2 Test: SET - Parallel Connections: 50 Requests Per Second > Higher Is Better a . 1249454.75 |======================================================= b . 1253729.88 |======================================================== c . 1422030.12 |=============================================================== KeyDB 6.3.2 Test: GET - Parallel Connections: 50 Requests Per Second > Higher Is Better a . 1481042.42 |======================================================= b . 1373626.38 |=================================================== c . 1690102.75 |=============================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 8.93885 |=============================================================== b . 8.13373 |========================================================= c . 9.33670 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 8.69748 |================================================================== b . 8.37239 |================================================================ c . 8.44040 |================================================================ oneDNN 3.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.251871 |================================================== b . 1.640760 |================================================================= c . 0.959942 |====================================== libavif avifenc 0.11 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 6.571 |==================================================================== b . 6.438 |=================================================================== c . 6.439 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 175.80 |================================================================== b . 177.46 |=================================================================== c . 168.56 |================================================================ AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 188.81 |=============================================================== b . 171.53 |========================================================= c . 201.29 |=================================================================== AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 147.69 |========================================================== b . 145.58 |========================================================= c . 169.96 |===================================================================