new-tests Tests for a future article. AMD EPYC 8324P 32-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite. Zen 1 - EPYC 7601: Processor: AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads), Motherboard: TYAN B8026T70AE24HR (V1.02.B10 BIOS), Chipset: AMD 17h, Memory: 128GB, Disk: 280GB INTEL SSDPE21D280GA + 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, OpenGL: 4.5 Mesa 23.2.1-1ubuntu3.1 (LLVM 15.0.7 256 bits), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 32: Processor: AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 32 z: Processor: AMD EPYC 8534PN 32-Core @ 2.05GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 32 c: Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 32 d: Processor: AMD EPYC 8324P 32-Core @ 2.65GHz (32 Cores / 64 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32 GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 1000GB INTEL SSDPE2KX010T8, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.6.9-060609-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better Zen 1 - EPYC 7601 . 12996667 |============================== b ................. 21180000 |================================================= c ................. 21250000 |================================================= 32 ................ 18790000 |=========================================== 32 z .............. 18760000 |=========================================== 32 c .............. 1040000 |== 32 d .............. 18840000 |=========================================== Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit Per Watt > Higher Is Better Zen 1 - EPYC 7601 . 22248.55 |================================================= Quicksilver 20230818 CPU Power Consumption Monitor Watts < Lower Is Better Zen 1 - EPYC 7601 . MIN: 243 AVG: 584 MAX: 648 Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit > Higher Is Better Zen 1 - EPYC 7601 . 15013333 |============================================== b ................. 16140000 |================================================= c ................. 16150000 |================================================= 32 ................ 15350000 |=============================================== 32 z .............. 15230000 |============================================== 32 c .............. 15180000 |============================================== 32 d .............. 15100000 |============================================== Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit Per Watt > Higher Is Better Zen 1 - EPYC 7601 . 27116.87 |================================================= Quicksilver 20230818 CPU Power Consumption Monitor Watts < Lower Is Better Zen 1 - EPYC 7601 . MIN: 255 AVG: 554 MAX: 595 Quicksilver 20230818 Input: CTS2 Figure Of Merit > Higher Is Better Zen 1 - EPYC 7601 . 11426667 |================================== b ................. 16270000 |================================================= c ................. 16260000 |================================================= 32 ................ 14320000 |=========================================== 32 z .............. 14290000 |=========================================== 32 c .............. 14430000 |=========================================== 32 d .............. 14280000 |=========================================== Quicksilver 20230818 Input: CTS2 Figure Of Merit Per Watt > Higher Is Better Zen 1 - EPYC 7601 . 18307.66 |================================================= Quicksilver 20230818 CPU Power Consumption Monitor Watts < Lower Is Better Zen 1 - EPYC 7601 . MIN: 259 AVG: 624 MAX: 662 Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Seconds < Lower Is Better Zen 1 - EPYC 7601 . 15.693 |=================================================== b ................. 5.202 |================= c ................. 5.213 |================= 32 ................ 5.656 |================== 32 z .............. 5.685 |================== 32 c .............. 5.783 |=================== 32 d .............. 5.751 |=================== Y-Cruncher 0.8.3 CPU Power Consumption Monitor Watts < Lower Is Better Zen 1 - EPYC 7601 . MIN: 262 AVG: 543 MAX: 712 Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Seconds < Lower Is Better Zen 1 - EPYC 7601 . 33.92 |==================================================== b ................. 10.42 |================ c ................. 10.48 |================ 32 ................ 11.68 |================== 32 z .............. 11.60 |================== 32 c .............. 11.90 |================== 32 d .............. 11.98 |================== Y-Cruncher 0.8.3 CPU Power Consumption Monitor Watts < Lower Is Better Zen 1 - EPYC 7601 . MIN: 263 AVG: 602 MAX: 718 Meta Performance Per Watts Performance Per Watts Performance Per Watts > Higher Is Better Zen 1 - EPYC 7601 . 13064001.66 |============================================== CPU Power Consumption Monitor Phoronix Test Suite System Monitoring Watts Zen 1 - EPYC 7601 . MIN: 243 AVG: 586 MAX: 718 QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better 32 ... 107079.2 |============================================================== 32 z . 107381.6 |============================================================== 32 c . 98916.2 |========================================================= 32 d . 98618.7 |========================================================= OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better 32 ... 28.37 |============================================================ 32 z . 30.75 |================================================================= 32 c . 30.54 |================================================================= 32 d . 30.72 |================================================================= OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better 32 ... 72.81 |================================================================= 32 z . 71.20 |================================================================ 32 c . 72.38 |================================================================= 32 d . 72.31 |================================================================= FFmpeg 6.1 Encoder: libx265 - Scenario: Live FPS > Higher Is Better 32 ... 109.84 |================================================================ 32 z . 110.37 |================================================================ 32 c . 110.02 |================================================================ 32 d . 110.29 |================================================================ FFmpeg 6.1 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better 32 ... 22.28 |================================================================= 32 z . 22.20 |================================================================= 32 c . 22.21 |================================================================= 32 d . 22.22 |================================================================= FFmpeg 6.1 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better 32 ... 45.13 |================================================================= 32 z . 45.05 |================================================================= 32 c . 45.13 |================================================================= 32 d . 44.97 |================================================================= FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better 32 ... 45.18 |================================================================= 32 z . 45.08 |================================================================= 32 c . 44.95 |================================================================= 32 d . 45.10 |================================================================= Xmrig 6.21 Variant: KawPow - Hash Count: 1M H/s > Higher Is Better 32 ... 18777.2 |============================================================== 32 z . 18961.3 |=============================================================== 32 c . 18947.3 |=============================================================== 32 d . 18901.1 |=============================================================== Xmrig 6.21 Variant: Monero - Hash Count: 1M H/s > Higher Is Better 32 ... 18845.5 |=============================================================== 32 z . 18763.8 |=============================================================== 32 c . 18897.5 |=============================================================== 32 d . 18866.1 |=============================================================== Xmrig 6.21 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better 32 ... 25814.4 |=============================================================== 32 z . 25943.7 |=============================================================== 32 c . 25385.9 |============================================================== 32 d . 25396.8 |============================================================== Xmrig 6.21 Variant: GhostRider - Hash Count: 1M H/s > Higher Is Better 32 ... 4067.4 |=============================================================== 32 z . 4038.6 |============================================================== 32 c . 4136.3 |================================================================ 32 d . 4095.7 |=============================================================== Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M H/s > Higher Is Better 32 ... 19004.5 |=============================================================== 32 z . 18936.5 |=============================================================== 32 c . 18783.9 |============================================================== 32 d . 18924.0 |=============================================================== Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M H/s > Higher Is Better 32 ... 18860.1 |=============================================================== 32 z . 18909.0 |=============================================================== 32 c . 18887.5 |=============================================================== 32 d . 18818.6 |=============================================================== DaCapo Benchmark 23.11 Java Test: Jython msec < Lower Is Better 32 ... 6703 |================================================================ 32 z . 6773 |================================================================= 32 c . 6865 |================================================================== 32 d . 6769 |================================================================= DaCapo Benchmark 23.11 Java Test: Eclipse msec < Lower Is Better 32 ... 12656 |================================================================ 32 z . 12735 |================================================================= 32 c . 12826 |================================================================= 32 d . 12768 |================================================================= DaCapo Benchmark 23.11 Java Test: GraphChi msec < Lower Is Better 32 ... 3536 |================================================================ 32 z . 3630 |================================================================== 32 c . 3538 |================================================================ 32 d . 3656 |================================================================== DaCapo Benchmark 23.11 Java Test: Tradesoap msec < Lower Is Better 32 ... 5403 |================================================================== 32 z . 5168 |=============================================================== 32 c . 5366 |================================================================== 32 d . 5149 |=============================================================== DaCapo Benchmark 23.11 Java Test: Tradebeans msec < Lower Is Better 32 ... 8561 |================================================================== 32 z . 8600 |================================================================== 32 c . 8520 |================================================================= 32 d . 8380 |================================================================ DaCapo Benchmark 23.11 Java Test: Spring Boot msec < Lower Is Better 32 ... 2444 |================================================================ 32 z . 2460 |================================================================ 32 c . 2533 |================================================================== 32 d . 2452 |================================================================ DaCapo Benchmark 23.11 Java Test: Apache Kafka msec < Lower Is Better 32 ... 5110 |================================================================== 32 z . 5121 |================================================================== 32 c . 5111 |================================================================== 32 d . 5114 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Tomcat msec < Lower Is Better 32 ... 2107 |================================================================== 32 z . 2082 |================================================================= 32 c . 2094 |================================================================= 32 d . 2112 |================================================================== DaCapo Benchmark 23.11 Java Test: jMonkeyEngine msec < Lower Is Better 32 ... 6914 |================================================================== 32 z . 6917 |================================================================== 32 c . 6917 |================================================================== 32 d . 6916 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Cassandra msec < Lower Is Better 32 ... 5946 |================================================================== 32 z . 5938 |================================================================== 32 c . 5955 |================================================================== 32 d . 5927 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Xalan XSLT msec < Lower Is Better 32 ... 871 |=================================================================== 32 z . 859 |================================================================== 32 c . 852 |================================================================== 32 d . 861 |================================================================== DaCapo Benchmark 23.11 Java Test: Batik SVG Toolkit msec < Lower Is Better 32 ... 1733 |================================================================== 32 z . 1723 |================================================================= 32 c . 1718 |================================================================= 32 d . 1738 |================================================================== DaCapo Benchmark 23.11 Java Test: H2 Database Engine msec < Lower Is Better 32 ... 2675 |================================================================ 32 z . 2655 |=============================================================== 32 c . 2773 |================================================================== 32 d . 2634 |=============================================================== DaCapo Benchmark 23.11 Java Test: FOP Print Formatter msec < Lower Is Better 32 ... 751 |================================================================== 32 z . 696 |============================================================= 32 c . 764 |=================================================================== 32 d . 758 |================================================================== DaCapo Benchmark 23.11 Java Test: PMD Source Code Analyzer msec < Lower Is Better 32 ... 1784 |============================================================ 32 z . 1820 |============================================================= 32 c . 1966 |================================================================== 32 d . 1833 |============================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Index msec < Lower Is Better 32 ... 4613 |================================================================== 32 z . 4589 |================================================================== 32 c . 4580 |================================================================== 32 d . 4602 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Engine msec < Lower Is Better 32 ... 1402 |================================================================= 32 z . 1425 |================================================================== 32 c . 1379 |================================================================ 32 d . 1433 |================================================================== DaCapo Benchmark 23.11 Java Test: Avrora AVR Simulation Framework msec < Lower Is Better 32 ... 5613 |================================================================== 32 z . 5441 |================================================================ 32 c . 5561 |================================================================= 32 d . 5572 |================================================================== DaCapo Benchmark 23.11 Java Test: BioJava Biological Data Framework msec < Lower Is Better 32 ... 7874 |================================================================== 32 z . 7858 |================================================================== 32 c . 7904 |================================================================== 32 d . 7907 |================================================================== DaCapo Benchmark 23.11 Java Test: Zxing 1D/2D Barcode Image Processing msec < Lower Is Better 32 ... 609 |=================================================================== 32 z . 599 |================================================================== 32 c . 569 |=============================================================== 32 d . 599 |================================================================== DaCapo Benchmark 23.11 Java Test: H2O In-Memory Platform For Machine Learning msec < Lower Is Better 32 ... 3974 |================================================================== 32 z . 3868 |================================================================ 32 c . 3979 |================================================================== 32 d . 3755 |============================================================== CacheBench Test: Read MB/s > Higher Is Better 32 ... 7616.09 |=============================================================== 32 z . 7616.33 |=============================================================== 32 c . 7615.95 |=============================================================== 32 d . 7615.83 |=============================================================== CacheBench Test: Write MB/s > Higher Is Better 32 ... 45646.09 |============================================================== 32 z . 45646.82 |============================================================== 32 c . 45645.09 |============================================================== 32 d . 45643.04 |============================================================== CacheBench Test: Read / Modify / Write MB/s > Higher Is Better 32 ... 87227.59 |============================================================== 32 z . 87218.21 |============================================================== 32 c . 87238.01 |============================================================== 32 d . 87854.12 |============================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better 32 ... 36.96 |================================================================ 32 z . 37.25 |================================================================= 32 c . 35.91 |=============================================================== 32 d . 36.28 |=============================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 32 ... 37.30 |================================================================ 32 z . 37.68 |================================================================= 32 c . 37.00 |================================================================ 32 d . 36.94 |================================================================ Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better 32 ... 41.60 |================================================================= 32 z . 41.82 |================================================================= 32 c . 41.57 |================================================================= 32 d . 41.56 |================================================================= Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 32 ... 37.28 |================================================================= 32 z . 36.86 |================================================================ 32 c . 37.44 |================================================================= 32 d . 37.41 |================================================================= Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 32 ... 45.94 |================================================================ 32 z . 46.31 |================================================================= 32 c . 45.46 |================================================================ 32 d . 45.65 |================================================================ Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 32 ... 38.94 |================================================================= 32 z . 39.11 |================================================================= 32 c . 39.00 |================================================================= 32 d . 39.14 |================================================================= SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better 32 ... 5.801 |=============================================================== 32 z . 5.899 |================================================================ 32 c . 5.829 |=============================================================== 32 d . 5.977 |================================================================= SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better 32 ... 48.45 |====================================================== 32 z . 58.72 |================================================================= 32 c . 47.25 |==================================================== 32 d . 58.64 |================================================================= SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better 32 ... 186.63 |================================================================ 32 z . 185.56 |================================================================ 32 c . 180.96 |============================================================== 32 d . 186.37 |================================================================ SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better 32 ... 185.67 |================================================================ 32 z . 184.98 |================================================================ 32 c . 183.90 |=============================================================== 32 d . 184.10 |=============================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better 32 ... 241545 |================================================================ 32 z . 242399 |================================================================ 32 c . 240287 |=============================================================== 32 d . 241191 |================================================================ 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better 32 ... 212209 |================================================================ 32 z . 211584 |================================================================ 32 c . 211815 |================================================================ 32 d . 211383 |================================================================ Timed FFmpeg Compilation 6.1 Time To Compile Seconds < Lower Is Better 32 ... 23.56 |=============================================================== 32 z . 23.76 |=============================================================== 32 c . 24.45 |================================================================= 32 d . 24.30 |================================================================= Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better 32 ... 254.01 |============================================================ 32 z . 272.61 |================================================================ 32 c . 258.31 |============================================================= 32 d . 258.93 |============================================================= Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better 32 ... 52.13 |=============================================================== 32 z . 52.01 |=============================================================== 32 c . 53.62 |================================================================= 32 d . 53.63 |================================================================= Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better 32 ... 433.79 |============================================================= 32 z . 434.19 |============================================================= 32 c . 453.69 |================================================================ 32 d . 452.61 |================================================================ OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better 32 ... 3404 |================================================================ 32 z . 3406 |================================================================ 32 c . 3493 |================================================================== 32 d . 3499 |================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better 32 ... 3451 |================================================================= 32 z . 3446 |================================================================= 32 c . 3515 |================================================================== 32 d . 3522 |================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better 32 ... 4049 |================================================================ 32 z . 4048 |================================================================ 32 c . 4157 |================================================================== 32 d . 4132 |================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better 32 ... 60673 |============================================================== 32 z . 61430 |=============================================================== 32 c . 62802 |================================================================ 32 d . 63336 |================================================================= OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better 32 ... 116377 |=============================================================== 32 z . 115669 |============================================================== 32 c . 118221 |================================================================ 32 d . 118802 |================================================================ OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better 32 ... 61987 |================================================================ 32 z . 62113 |================================================================ 32 c . 63402 |================================================================= 32 d . 62787 |================================================================ OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better 32 ... 116566 |============================================================== 32 z . 116972 |============================================================== 32 c . 118980 |================================================================ 32 d . 119783 |================================================================ OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better 32 ... 71361 |=============================================================== 32 z . 71495 |=============================================================== 32 c . 73024 |================================================================= 32 d . 73329 |================================================================= OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better 32 ... 136464 |=============================================================== 32 z . 136312 |============================================================== 32 c . 139685 |================================================================ 32 d . 139445 |================================================================ PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better 32 ... 52.44 |================================================================ 32 z . 52.78 |================================================================ 32 c . 53.00 |================================================================= 32 d . 53.30 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better 32 ... 19.04 |================================================================= 32 z . 18.92 |================================================================= 32 c . 18.86 |================================================================ 32 d . 18.86 |================================================================ PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better 32 ... 40.19 |================================================================= 32 z . 39.96 |================================================================ 32 c . 40.32 |================================================================= 32 d . 40.31 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better 32 ... 15.61 |================================================================= 32 z . 15.51 |================================================================= 32 c . 15.32 |================================================================ 32 d . 15.35 |================================================================ PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better 32 ... 9.85 |=============================================================== 32 z . 9.82 |=============================================================== 32 c . 10.04 |================================================================ 32 d . 10.21 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better 32 ... 7.17 |================================================================== 32 z . 7.11 |================================================================= 32 c . 7.18 |================================================================== 32 d . 7.15 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better 32 ... 9.73 |================================================================== 32 z . 9.75 |================================================================== 32 c . 9.77 |================================================================== 32 d . 9.75 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better 32 ... 32.12 |=============================================================== 32 z . 31.92 |=============================================================== 32 c . 33.14 |================================================================= 32 d . 33.02 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better 32 ... 25.15 |================================================================= 32 z . 25.20 |================================================================= 32 c . 24.47 |=============================================================== 32 d . 24.51 |=============================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better 32 ... 272.93 |=============================================================== 32 z . 274.97 |================================================================ 32 c . 274.97 |================================================================ 32 d . 276.19 |================================================================ TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better 32 ... 28.99 |================================================================= 32 z . 28.71 |================================================================ 32 c . 27.73 |============================================================== 32 d . 28.79 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better 32 ... 8.74 |================================================================== 32 z . 8.77 |================================================================== 32 c . 8.61 |================================================================= 32 d . 8.59 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better 32 ... 158.47 |================================================================ 32 z . 155.77 |=============================================================== 32 c . 157.60 |================================================================ 32 d . 158.08 |================================================================ TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better 32 ... 51.34 |================================================================= 32 z . 51.57 |================================================================= 32 c . 51.56 |================================================================= 32 d . 51.49 |================================================================= Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 21.29 |================================================================= 32 z . 21.27 |================================================================= 32 c . 20.87 |================================================================ 32 d . 21.09 |================================================================ Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 747.07 |=============================================================== 32 z . 745.18 |=============================================================== 32 c . 753.12 |================================================================ 32 d . 751.21 |================================================================ Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 836.42 |================================================================ 32 z . 835.26 |================================================================ 32 c . 816.28 |============================================================== 32 d . 815.98 |============================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 19.11 |=============================================================== 32 z . 19.13 |=============================================================== 32 c . 19.58 |================================================================= 32 d . 19.59 |================================================================= Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 266.86 |================================================================ 32 z . 266.98 |================================================================ 32 c . 266.84 |================================================================ 32 d . 266.53 |================================================================ Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 59.86 |================================================================= 32 z . 59.87 |================================================================= 32 c . 59.90 |================================================================= 32 d . 59.97 |================================================================= Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 2208.15 |=============================================================== 32 z . 2199.49 |=============================================================== 32 c . 2195.92 |=============================================================== 32 d . 2189.07 |============================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 7.2332 |================================================================ 32 z . 7.2610 |================================================================ 32 c . 7.2738 |================================================================ 32 d . 7.2896 |================================================================ Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 123.02 |================================================================ 32 z . 122.96 |================================================================ 32 c . 122.33 |================================================================ 32 d . 121.80 |=============================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 129.87 |================================================================ 32 z . 129.80 |================================================================ 32 c . 130.48 |================================================================ 32 d . 130.79 |================================================================ Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 26.06 |================================================================= 32 z . 26.08 |================================================================= 32 c . 25.82 |================================================================ 32 d . 25.79 |================================================================ Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 607.94 |================================================================ 32 z . 608.13 |================================================================ 32 c . 611.60 |================================================================ 32 d . 611.44 |================================================================ Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 266.88 |================================================================ 32 z . 267.84 |================================================================ 32 c . 266.03 |================================================================ 32 d . 266.28 |================================================================ Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 59.88 |================================================================= 32 z . 59.67 |================================================================= 32 c . 60.06 |================================================================= 32 d . 60.03 |================================================================= Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 123.88 |================================================================ 32 z . 123.79 |================================================================ 32 c . 123.15 |================================================================ 32 d . 122.93 |================================================================ Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 128.82 |================================================================ 32 z . 128.85 |================================================================ 32 c . 129.54 |================================================================ 32 d . 129.81 |================================================================ Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 182.51 |================================================================ 32 z . 182.76 |================================================================ 32 c . 181.10 |=============================================================== 32 d . 181.12 |=============================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 87.49 |================================================================ 32 z . 87.33 |================================================================ 32 c . 88.20 |================================================================= 32 d . 88.23 |================================================================= Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 40.17 |================================================================= 32 z . 39.95 |================================================================= 32 c . 38.77 |=============================================================== 32 d . 38.83 |=============================================================== Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 396.29 |============================================================== 32 z . 397.96 |============================================================== 32 c . 411.34 |================================================================ 32 d . 410.33 |================================================================ Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 383.97 |================================================================ 32 z . 385.65 |================================================================ 32 c . 384.32 |================================================================ 32 d . 381.78 |=============================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 41.63 |================================================================= 32 z . 41.44 |================================================================ 32 c . 41.59 |================================================================= 32 d . 41.84 |================================================================= Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better 32 ... 21.23 |================================================================= 32 z . 21.29 |================================================================= 32 c . 21.04 |================================================================ 32 d . 21.07 |================================================================ Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better 32 ... 747.31 |================================================================ 32 z . 746.13 |================================================================ 32 c . 751.93 |================================================================ 32 d . 750.40 |================================================================ Blender 4.0 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 32 ... 44.73 |============================================================= 32 z . 44.48 |============================================================= 32 c . 47.52 |================================================================= 32 d . 47.41 |================================================================= Blender 4.0 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better 32 ... 112.03 |============================================================ 32 z . 112.09 |============================================================ 32 c . 119.72 |================================================================ 32 d . 119.57 |================================================================ Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better 32 ... 55.65 |============================================================ 32 z . 55.54 |============================================================ 32 c . 59.58 |================================================================= 32 d . 59.79 |================================================================= Blender 4.0 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better 32 ... 410.61 |============================================================== 32 z . 410.43 |============================================================== 32 c . 426.30 |================================================================ 32 d . 426.37 |================================================================ Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better 32 ... 139.09 |============================================================ 32 z . 138.60 |============================================================ 32 c . 148.74 |================================================================ 32 d . 148.56 |================================================================ OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better 32 ... 17.17 |================================================================= 32 z . 17.18 |================================================================= 32 c . 16.51 |============================================================== 32 d . 16.54 |=============================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better 32 ... 929.23 |============================================================== 32 z . 927.57 |============================================================= 32 c . 964.20 |================================================================ 32 d . 965.35 |================================================================ OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better 32 ... 151.45 |================================================================ 32 z . 150.06 |=============================================================== 32 c . 150.07 |=============================================================== 32 d . 151.25 |================================================================ OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better 32 ... 105.48 |=============================================================== 32 z . 106.44 |================================================================ 32 c . 106.43 |================================================================ 32 d . 105.64 |================================================================ OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better 32 ... 150.80 |================================================================ 32 z . 150.37 |================================================================ 32 c . 150.84 |================================================================ 32 d . 150.25 |================================================================ OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better 32 ... 105.97 |================================================================ 32 z . 106.24 |================================================================ 32 c . 105.91 |================================================================ 32 d . 106.32 |================================================================ OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better 32 ... 1190.42 |=============================================================== 32 z . 1197.46 |=============================================================== 32 c . 1166.56 |============================================================= 32 d . 1166.83 |============================================================= OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better 32 ... 13.36 |================================================================ 32 z . 13.29 |=============================================================== 32 c . 13.65 |================================================================= 32 d . 13.65 |================================================================= OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better 32 ... 32.82 |================================================================= 32 z . 32.81 |================================================================= 32 c . 31.22 |============================================================== 32 d . 31.20 |============================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better 32 ... 486.65 |============================================================= 32 z . 486.03 |============================================================= 32 c . 510.79 |================================================================ 32 d . 510.90 |================================================================ OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better 32 ... 3921.50 |=============================================================== 32 z . 3924.86 |=============================================================== 32 c . 3877.91 |============================================================== 32 d . 3869.70 |============================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better 32 ... 3.91 |================================================================ 32 z . 3.90 |================================================================ 32 c . 4.03 |================================================================== 32 d . 4.03 |================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better 32 ... 576.18 |================================================================ 32 z . 579.41 |================================================================ 32 c . 554.68 |============================================================= 32 d . 553.65 |============================================================= OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better 32 ... 27.69 |============================================================== 32 z . 27.53 |============================================================== 32 c . 28.77 |================================================================= 32 d . 28.82 |================================================================= OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better 32 ... 1960.18 |=============================================================== 32 z . 1964.99 |=============================================================== 32 c . 1860.99 |============================================================ 32 d . 1862.24 |============================================================ OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better 32 ... 8.07 |=============================================================== 32 z . 8.05 |============================================================== 32 c . 8.52 |================================================================== 32 d . 8.52 |================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better 32 ... 1704.26 |=============================================================== 32 z . 1704.02 |=============================================================== 32 c . 1627.93 |============================================================ 32 d . 1628.91 |============================================================ OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better 32 ... 18.69 |============================================================== 32 z . 18.69 |============================================================== 32 c . 19.58 |================================================================= 32 d . 19.56 |================================================================= OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better 32 ... 5747.65 |=============================================================== 32 z . 5751.58 |=============================================================== 32 c . 5416.31 |=========================================================== 32 d . 5423.13 |=========================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better 32 ... 5.41 |============================================================== 32 z . 5.42 |============================================================== 32 c . 5.78 |================================================================== 32 d . 5.78 |================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better 32 ... 666.22 |================================================================ 32 z . 666.30 |================================================================ 32 c . 632.92 |============================================================= 32 d . 634.50 |============================================================= OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better 32 ... 23.95 |============================================================== 32 z . 23.95 |============================================================== 32 c . 25.22 |================================================================= 32 d . 25.16 |================================================================= OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better 32 ... 199.90 |================================================================ 32 z . 201.15 |================================================================ 32 c . 194.21 |============================================================== 32 d . 195.05 |============================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better 32 ... 79.82 |=============================================================== 32 z . 79.39 |=============================================================== 32 c . 82.18 |================================================================= 32 d . 81.87 |================================================================= OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better 32 ... 3300.99 |=============================================================== 32 z . 3299.93 |=============================================================== 32 c . 3099.20 |=========================================================== 32 d . 3100.95 |=========================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better 32 ... 9.56 |============================================================= 32 z . 9.56 |============================================================= 32 c . 10.22 |================================================================= 32 d . 10.21 |================================================================= OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better 32 ... 1741.57 |=============================================================== 32 z . 1735.64 |=============================================================== 32 c . 1694.01 |============================================================= 32 d . 1696.50 |============================================================= OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better 32 ... 9.12 |================================================================ 32 z . 9.16 |================================================================ 32 c . 9.39 |================================================================== 32 d . 9.37 |================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better 32 ... 898.60 |================================================================ 32 z . 896.69 |================================================================ 32 c . 853.38 |============================================================= 32 d . 848.62 |============================================================ OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better 32 ... 35.51 |============================================================= 32 z . 35.59 |============================================================== 32 c . 37.40 |================================================================= 32 d . 37.61 |================================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better 32 ... 40123.62 |============================================================== 32 z . 40101.80 |============================================================== 32 c . 39562.87 |============================================================= 32 d . 39843.05 |============================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better 32 ... 0.65 |================================================================ 32 z . 0.66 |================================================================= 32 c . 0.67 |================================================================== 32 d . 0.67 |================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better 32 ... 745.00 |================================================================ 32 z . 730.82 |=============================================================== 32 c . 692.02 |=========================================================== 32 d . 690.24 |=========================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better 32 ... 42.87 |============================================================ 32 z . 43.71 |============================================================= 32 c . 46.17 |================================================================= 32 d . 46.28 |================================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better 32 ... 52441.94 |============================================================== 32 z . 52475.39 |============================================================== 32 c . 52382.31 |============================================================== 32 d . 52344.60 |============================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better 32 ... 0.48 |================================================================== 32 z . 0.47 |================================================================= 32 c . 0.48 |================================================================== 32 d . 0.48 |================================================================== RocksDB 8.0 Test: Random Read Op/s > Higher Is Better 32 ... 176770468 |============================================================= 32 z . 177167636 |============================================================= 32 c . 160665305 |======================================================= 32 d . 160707812 |======================================================= RocksDB 8.0 Test: Update Random Op/s > Higher Is Better 32 ... 630575 |=============================================================== 32 z . 636242 |================================================================ 32 c . 633688 |================================================================ 32 d . 630478 |=============================================================== RocksDB 8.0 Test: Read While Writing Op/s > Higher Is Better 32 ... 4284691 |============================================================= 32 z . 4364996 |============================================================== 32 c . 4419497 |=============================================================== 32 d . 4244478 |============================================================= RocksDB 8.0 Test: Read Random Write Random Op/s > Higher Is Better 32 ... 2373654 |=============================================================== 32 z . 2361270 |=============================================================== 32 c . 2327800 |============================================================== 32 d . 2351568 |============================================================== Speedb 2.7 Test: Random Read Op/s > Higher Is Better 32 ... 179685954 |============================================================= 32 z . 179434924 |============================================================= 32 c . 163202721 |======================================================= 32 d . 163512432 |======================================================== Speedb 2.7 Test: Update Random Op/s > Higher Is Better 32 ... 314123 |=============================================================== 32 z . 314114 |=============================================================== 32 c . 317758 |================================================================ 32 d . 313683 |=============================================================== Speedb 2.7 Test: Read While Writing Op/s > Higher Is Better 32 ... 7457600 |============================================================= 32 z . 7210235 |=========================================================== 32 c . 7746346 |=============================================================== 32 d . 7105602 |========================================================== Speedb 2.7 Test: Read Random Write Random Op/s > Higher Is Better 32 ... 2231403 |============================================================== 32 z . 2259344 |=============================================================== 32 c . 2229494 |============================================================== 32 d . 2215896 |============================================================== Llama.cpp b1808 Model: llama-2-7b.Q4_0.gguf Tokens Per Second > Higher Is Better 32 ... 29.75 |================================================================= 32 z . 29.90 |================================================================= 32 c . 29.74 |================================================================= 32 d . 29.85 |================================================================= Llama.cpp b1808 Model: llama-2-13b.Q4_0.gguf Tokens Per Second > Higher Is Better 32 ... 17.94 |================================================================ 32 z . 17.87 |================================================================ 32 c . 17.87 |================================================================ 32 d . 18.08 |================================================================= Llama.cpp b1808 Model: llama-2-70b-chat.Q5_0.gguf Tokens Per Second > Higher Is Better 32 ... 3.42 |================================================================== 32 z . 3.41 |================================================================== 32 c . 3.42 |================================================================== 32 d . 3.42 |==================================================================