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:
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
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 |=================================================================
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 |==================================================================
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 |===================================================================
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
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 |==================================================================
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 |====================================================================
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 |====================================================================