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Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and Intel Arc A770 DG2 16GB on Ubuntu 23.10 via the Phoronix Test Suite.

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ra Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and Intel Arc A770 DG2 16GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB, Graphics: Intel Arc A770 DG2 16GB (2400MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc7daily20231224-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB, Graphics: Intel Arc A770 DG2 16GB (2400MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc7daily20231224-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB, Graphics: Intel Arc A770 DG2 16GB (2400MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc7daily20231224-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 d: Processor: Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1402 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB, Graphics: Intel Arc A770 DG2 16GB (2400MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc7daily20231224-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 GpuOwl 7.2.1 Exponent: 57885161 Iterations / Second > Higher Is Better GpuOwl 7.2.1 Exponent: 77936867 Iterations / Second > Higher Is Better GpuOwl 7.2.1 Exponent: 332220523 Iterations / Second > Higher Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP32 Compute TFLOPs/s > Higher Is Better a . 12.00 |==================================================================== b . 12.06 |==================================================================== c . 11.99 |==================================================================== d . 12.07 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP16 Compute TFLOPs/s > Higher Is Better a . 18.31 |==================================================================== a . 18.32 |==================================================================== b . 17.79 |================================================================== c . 18.29 |==================================================================== d . 18.31 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT64 Compute TIOPs/s > Higher Is Better a . 1.280 |==================================================================== a . 1.259 |=================================================================== b . 1.260 |=================================================================== c . 1.282 |==================================================================== d . 1.277 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT32 Compute TIOPs/s > Higher Is Better a . 5.465 |==================================================================== a . 5.466 |==================================================================== b . 5.465 |==================================================================== c . 5.466 |==================================================================== d . 5.466 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT16 Compute TIOPs/s > Higher Is Better a . 30.26 |==================================================================== a . 29.73 |=================================================================== b . 29.75 |=================================================================== c . 29.77 |=================================================================== d . 29.72 |=================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT8 Compute TIOPs/s > Higher Is Better a . 11.38 |==================================================================== a . 11.38 |==================================================================== b . 11.38 |==================================================================== c . 11.39 |==================================================================== d . 11.39 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: Memory Bandwidth Coalesced Read GB/s > Higher Is Better a . 221.35 |================================================================== a . 220.35 |================================================================== b . 224.17 |=================================================================== c . 219.56 |================================================================== d . 221.78 |================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: Memory Bandwidth Coalesced Write GB/s > Higher Is Better a . 445.78 |=================================================================== a . 447.57 |=================================================================== b . 447.53 |=================================================================== c . 438.89 |================================================================== d . 442.59 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 73.64 |==================================================================== b . 71.64 |================================================================== c . 58.93 |====================================================== d . 73.13 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 28.51 |==================================================================== b . 22.11 |===================================================== c . 27.88 |================================================================== d . 27.25 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 44.10 |==================================================================== b . 43.54 |=================================================================== c . 43.83 |==================================================================== d . 38.12 |=========================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 44.00 |==================================================================== b . 43.36 |=================================================================== c . 43.76 |==================================================================== d . 37.94 |=========================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 17.00 |=================================================================== b . 17.13 |==================================================================== c . 17.08 |==================================================================== d . 17.00 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 16.99 |==================================================================== b . 15.77 |=============================================================== c . 17.04 |==================================================================== d . 17.00 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 13.29 |==================================================================== b . 12.89 |================================================================== c . 13.19 |=================================================================== d . 12.95 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 11.57 |=================================================================== b . 8.70 |=================================================== c . 8.81 |=================================================== d . 11.67 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 11.59 |==================================================================== b . 11.63 |==================================================================== c . 8.72 |=================================================== d . 8.70 |=================================================== Quicksilver 20230818 Input: CTS2 Figure Of Merit > Higher Is Better a . 16370000 |============================================================== b . 17160000 |================================================================= c . 15220000 |========================================================== d . 16520000 |=============================================================== Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better a . 18660000 |========================================================= b . 21210000 |================================================================= c . 18630000 |========================================================= d . 21180000 |================================================================= Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit > Higher Is Better a . 17310000 |================================================================= b . 17040000 |================================================================ c . 17220000 |================================================================= d . 17190000 |================================================================= Speedb 2.7 Test: Random Fill Op/s > Higher Is Better a . 1072435 |================================================================= b . 1072134 |================================================================= c . 1083754 |================================================================== d . 1081261 |================================================================== Speedb 2.7 Test: Random Read Op/s > Higher Is Better a . 161862046 |================================================================ b . 153376335 |============================================================= c . 161805380 |================================================================ d . 161052165 |================================================================ Speedb 2.7 Test: Update Random Op/s > Higher Is Better a . 587707 |================================================================== b . 586402 |================================================================== c . 585805 |================================================================== d . 592787 |=================================================================== Speedb 2.7 Test: Sequential Fill Op/s > Higher Is Better a . 1173524 |================================================================= b . 1158616 |================================================================ c . 1189205 |================================================================== d . 1151534 |================================================================ Speedb 2.7 Test: Random Fill Sync Op/s > Higher Is Better a . 45735 |=================================================================== b . 45930 |==================================================================== c . 46257 |==================================================================== d . 45697 |=================================================================== Speedb 2.7 Test: Read While Writing Op/s > Higher Is Better a . 6719085 |============================================================= b . 5231830 |=============================================== c . 7297328 |================================================================== d . 5236657 |=============================================== Speedb 2.7 Test: Read Random Write Random Op/s > Higher Is Better a . 3284249 |================================================================== b . 3274485 |================================================================== c . 3293583 |================================================================== d . 3282528 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better a . 5.77 |===================================================================== b . 5.77 |===================================================================== c . 5.78 |===================================================================== d . 5.78 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 21.80 |==================================================================== b . 21.77 |==================================================================== c . 21.72 |==================================================================== d . 21.76 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better a . 10.35 |==================================================================== b . 10.33 |==================================================================== c . 10.36 |==================================================================== d . 10.36 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 159.94 |=================================================================== b . 159.35 |=================================================================== c . 159.35 |=================================================================== d . 159.65 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 67.62 |==================================================================== b . 67.78 |==================================================================== c . 67.34 |=================================================================== d . 68.05 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 19.79 |==================================================================== b . 19.84 |==================================================================== c . 19.87 |==================================================================== d . 19.87 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 115.24 |================================================================= b . 117.81 |=================================================================== c . 118.39 |=================================================================== d . 114.45 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 36.03 |==================================================================== b . 36.15 |==================================================================== c . 35.65 |=================================================================== d . 35.69 |=================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 22.64 |==================================================================== b . 22.53 |==================================================================== c . 22.53 |==================================================================== d . 22.55 |==================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 5B Seconds < Lower Is Better a . 137.77 |=================================================================== b . 137.50 |=================================================================== c . 137.12 |=================================================================== d . 137.70 |=================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 9.632 |================================================================== b . 9.894 |==================================================================== c . 9.759 |=================================================================== d . 9.865 |====================================================================