Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB 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 2401087-NE-DGK61774740
dgk
Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite.
s:
Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
b:
Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
c:
Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201
OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
Speedb 2.7
Test: Sequential Fill
Op/s > Higher Is Better
s . 515405 |===================================================================
b . 465625 |=============================================================
c . 468338 |=============================================================
Speedb 2.7
Test: Random Fill Sync
Op/s > Higher Is Better
s . 6137 |=====================================================================
b . 5834 |==================================================================
c . 6068 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 7.87 |=====================================================================
b . 7.52 |==================================================================
c . 7.55 |==================================================================
Speedb 2.7
Test: Random Fill
Op/s > Higher Is Better
s . 469349 |===================================================================
b . 457177 |=================================================================
c . 449590 |================================================================
Speedb 2.7
Test: Read While Writing
Op/s > Higher Is Better
s . 924588 |===================================================================
b . 891013 |================================================================
c . 929902 |===================================================================
Speedb 2.7
Test: Random Read
Op/s > Higher Is Better
s . 14935067 |=================================================================
b . 14560540 |===============================================================
c . 14863698 |=================================================================
Quicksilver 20230818
Input: CTS2
Figure Of Merit > Higher Is Better
s . 4216000 |==================================================================
b . 4129000 |=================================================================
c . 4181000 |=================================================================
Quicksilver 20230818
Input: CORAL2 P1
Figure Of Merit > Higher Is Better
s . 4330000 |==================================================================
b . 4241000 |=================================================================
c . 4292000 |=================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
s . 30.94 |====================================================================
b . 30.45 |===================================================================
c . 31.02 |====================================================================
Speedb 2.7
Test: Read Random Write Random
Op/s > Higher Is Better
s . 798428 |===================================================================
b . 784239 |==================================================================
c . 794461 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
s . 5.67 |====================================================================
b . 5.76 |=====================================================================
c . 5.70 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
s . 24.66 |===================================================================
b . 24.93 |====================================================================
c . 24.82 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
s . 46.91 |===================================================================
b . 47.38 |====================================================================
c . 47.19 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
s . 2.00 |====================================================================
b . 2.00 |====================================================================
c . 2.02 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 4.25 |=====================================================================
b . 4.24 |=====================================================================
c . 4.21 |====================================================================
Speedb 2.7
Test: Update Random
Op/s > Higher Is Better
s . 313862 |===================================================================
b . 311047 |==================================================================
c . 311258 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
s . 10.10 |====================================================================
b . 10.10 |====================================================================
c . 10.02 |===================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: INT64 Compute
TIOPs/s > Higher Is Better
s . 0.130 |===================================================================
b . 0.131 |====================================================================
c . 0.130 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
s . 25.06 |====================================================================
b . 24.96 |====================================================================
c . 24.87 |===================================================================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
s . 27.04 |====================================================================
b . 27.21 |====================================================================
c . 27.05 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
s . 8.30 |=====================================================================
b . 8.28 |=====================================================================
c . 8.25 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
s . 14.13 |====================================================================
b . 14.05 |====================================================================
c . 14.11 |====================================================================
Quicksilver 20230818
Input: CORAL2 P2
Figure Of Merit > Higher Is Better
s . 7935000 |==================================================================
b . 7942000 |==================================================================
c . 7900000 |==================================================================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
s . 60.61 |====================================================================
b . 60.64 |====================================================================
c . 60.80 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: Memory Bandwidth Coalesced Write
GB/s > Higher Is Better
s . 61.46 |====================================================================
b . 61.30 |====================================================================
c . 61.31 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
s . 13.08 |====================================================================
b . 13.05 |====================================================================
c . 13.08 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: INT8 Compute
TIOPs/s > Higher Is Better
s . 1.313 |====================================================================
b . 1.314 |====================================================================
c . 1.316 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
s . 9.69 |=====================================================================
b . 9.67 |=====================================================================
c . 9.67 |=====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: Memory Bandwidth Coalesced Read
GB/s > Higher Is Better
s . 59.37 |====================================================================
b . 59.48 |====================================================================
c . 59.40 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: INT32 Compute
TIOPs/s > Higher Is Better
s . 0.635 |====================================================================
b . 0.634 |====================================================================
c . 0.635 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: FP16 Compute
TFLOPs/s > Higher Is Better
s . 3.232 |====================================================================
b . 3.235 |====================================================================
c . 3.236 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: FP32 Compute
TFLOPs/s > Higher Is Better
s . 1.750 |====================================================================
b . 1.751 |====================================================================
c . 1.751 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: INT16 Compute
TIOPs/s > Higher Is Better
s . 6.780 |====================================================================
b . 6.781 |====================================================================
c . 6.783 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
s . 3.34 |=====================================================================
b . 3.34 |=====================================================================
c . 3.34 |=====================================================================