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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2401078-PTS-RA95128640
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","b","c","d"
Processor,,Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads),Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads),Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads),Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads)
Motherboard,,ASUS PRIME Z790-P WIFI (1402 BIOS),ASUS PRIME Z790-P WIFI (1402 BIOS),ASUS PRIME Z790-P WIFI (1402 BIOS),ASUS PRIME Z790-P WIFI (1402 BIOS)
Chipset,,Intel Device 7a27,Intel Device 7a27,Intel Device 7a27,Intel Device 7a27
Memory,,32GB,32GB,32GB,32GB
Disk,,Western Digital WD_BLACK SN850X 1000GB,Western Digital WD_BLACK SN850X 1000GB,Western Digital WD_BLACK SN850X 1000GB,Western Digital WD_BLACK SN850X 1000GB
Graphics,,Intel Arc A770 DG2 16GB (2400MHz),Intel Arc A770 DG2 16GB (2400MHz),Intel Arc A770 DG2 16GB (2400MHz),Intel Arc A770 DG2 16GB (2400MHz)
Audio,,Realtek ALC897,Realtek ALC897,Realtek ALC897,Realtek ALC897
Monitor,,ASUS VP28U,ASUS VP28U,ASUS VP28U,ASUS VP28U
OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10
Kernel,,6.7.0-060700rc7daily20231224-generic (x86_64),6.7.0-060700rc7daily20231224-generic (x86_64),6.7.0-060700rc7daily20231224-generic (x86_64),6.7.0-060700rc7daily20231224-generic (x86_64)
Desktop,,GNOME Shell 45.1,GNOME Shell 45.1,GNOME Shell 45.1,GNOME Shell 45.1
Display Server,,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7,X Server 1.21.1.7
OpenGL,,4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa),4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa),4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa),4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa)
OpenCL,,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0
Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080
,,"a","b","c","d"
"GpuOwl - Exponent: 57885161 (Iterations / Second)",HIB,,,,
"GpuOwl - Exponent: 77936867 (Iterations / Second)",HIB,,,,
"GpuOwl - Exponent: 332220523 (Iterations / Second)",HIB,,,,
"ProjectPhysX OpenCL-Benchmark - Operation: FP32 Compute (TFLOPs/s)",HIB,12.002,12.064,11.99,12.067
"ProjectPhysX OpenCL-Benchmark - Operation: FP16 Compute (TFLOPs/s)",HIB,18.308,17.79,18.29,18.313
"ProjectPhysX OpenCL-Benchmark - Operation: INT64 Compute (TIOPs/s)",HIB,1.259,1.26,1.282,1.277
"ProjectPhysX OpenCL-Benchmark - Operation: INT32 Compute (TIOPs/s)",HIB,5.465,5.465,5.466,5.466
"ProjectPhysX OpenCL-Benchmark - Operation: INT16 Compute (TIOPs/s)",HIB,29.73,29.753,29.765,29.724
"ProjectPhysX OpenCL-Benchmark - Operation: INT8 Compute (TIOPs/s)",HIB,11.379,11.381,11.386,11.386
"ProjectPhysX OpenCL-Benchmark - Operation: Memory Bandwidth Coalesced Read (GB/s)",HIB,220.35,224.17,219.56,221.78
"ProjectPhysX OpenCL-Benchmark - Operation: Memory Bandwidth Coalesced Write (GB/s)",HIB,445.78,447.53,438.89,442.59
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,73.64,71.64,58.93,73.13
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,28.51,22.11,27.88,27.25
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,44.10,43.54,43.83,38.12
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,44.00,43.36,43.76,37.94
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,17.00,17.13,17.08,17.00
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,16.99,15.77,17.04,17.00
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,13.29,12.89,13.19,12.95
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,11.57,8.70,8.81,11.67
"PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,11.59,11.63,8.72,8.70
"Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,16370000,17160000,15220000,16520000
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,18660000,21210000,18630000,21180000
"Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,17310000,17040000,17220000,17190000
"Speedb - Test: Random Fill (Op/s)",HIB,1072435,1072134,1083754,1081261
"Speedb - Test: Random Read (Op/s)",HIB,161862046,153376335,161805380,161052165
"Speedb - Test: Update Random (Op/s)",HIB,587707,586402,585805,592787
"Speedb - Test: Sequential Fill (Op/s)",HIB,1173524,1158616,1189205,1151534
"Speedb - Test: Random Fill Sync (Op/s)",HIB,45735,45930,46257,45697
"Speedb - Test: Read While Writing (Op/s)",HIB,6719085,5231830,7297328,5236657
"Speedb - Test: Read Random Write Random (Op/s)",HIB,3284249,3274485,3293583,3282528
"TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,5.77,5.77,5.78,5.78
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,21.8,21.77,21.72,21.76
"TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,10.35,10.33,10.36,10.36
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,159.94,159.35,159.35,159.65
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,67.62,67.78,67.34,68.05
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,19.79,19.84,19.87,19.87
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,115.24,117.81,118.39,114.45
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,36.03,36.15,35.65,35.69
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,22.641,22.531,22.531,22.548
"Y-Cruncher - Pi Digits To Calculate: 5B (sec)",LIB,137.771,137.497,137.118,137.699
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,9.632,9.894,9.759,9.865