Tests for a future article. Intel Core i7-1280P testing with a MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 8GB 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 2403296-NE-DLDL7839171
dldl
Tests for a future article. Intel Core i7-1280P testing with a MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 8GB on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 8 x 2GB LPDDR4-4267MT/s SK Hynix H9HCNNNCPMMLXR-, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 8GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2401210600.c3a64f~oibaf~m (git-c3a64f8 2024-01-21 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 8 x 2GB LPDDR4-4267MT/s SK Hynix H9HCNNNCPMMLXR-, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 8GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2401210600.c3a64f~oibaf~m (git-c3a64f8 2024-01-21 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
BRL-CAD 7.38.2
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 122838 |===================================================================
b . 123265 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
a . 15.39 |====================================================================
b . 15.44 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 83.80 |====================================================================
b . 83.64 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 90.70 |====================================================================
b . 90.71 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 94.20 |====================================================================
b . 93.82 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
a . 33.99 |====================================================================
b . 34.00 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.47 |====================================================================
b . 10.48 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 45.74 |====================================================================
b . 45.75 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 13.35 |====================================================================
b . 13.39 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 43.23 |====================================================================
b . 43.33 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 13.87 |====================================================================
b . 13.93 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 42.89 |====================================================================
b . 43.05 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 14.15 |====================================================================
b . 14.18 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a . 27.59 |====================================================================
b . 23.28 |=========================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
a . 8.60 |==========================================================
b . 10.12 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
a . 13.89 |===================================================================
b . 14.06 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
a . 13.97 |====================================================================
b . 13.96 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
a . 15.38 |====================================================================
b . 15.37 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
a . 5.99 |=====================================================================
b . 6.00 |=====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
a . 5.46 |==============================================================
b . 6.03 |=====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
a . 5.41 |==============================================================
b . 6.01 |=====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 5.92 |===================================================================
b . 6.10 |=====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 4.20 |=====================================================================
b . 4.07 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 4.21 |=====================================================================
b . 4.20 |=====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 3.68 |===============================================================
b . 4.03 |=====================================================================
Stockfish 16.1
Chess Benchmark
Nodes Per Second > Higher Is Better
a . 9022315 |================================================================
b . 9265428 |==================================================================
Blender 4.1
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 201.86 |===================================================================
b . 201.47 |===================================================================
Blender 4.1
Blend File: Junkshop - Compute: CPU-Only
Seconds < Lower Is Better
a . 281.82 |===================================================================
b . 279.49 |==================================================================
Blender 4.1
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 573.49 |===================================================================
b . 561.44 |==================================================================
Blender 4.1
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 283.45 |===================================================================
b . 282.54 |===================================================================
Blender 4.1
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 2138.39 |==================================================================
b . 2132.05 |==================================================================
Blender 4.1
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 692.47 |===================================================================
b . 689.24 |===================================================================
Timed Mesa Compilation 24.0
Time To Compile
Seconds < Lower Is Better
a . 44.07 |====================================================================
b . 43.44 |===================================================================
RocksDB 9.0
Test: Overwrite
Op/s > Higher Is Better
a . 638938 |===================================================================
b . 641031 |===================================================================
RocksDB 9.0
Test: Random Fill
Op/s > Higher Is Better
a . 640601 |===================================================================
b . 642443 |===================================================================
RocksDB 9.0
Test: Random Read
Op/s > Higher Is Better
a . 42403226 |=================================================================
b . 42180062 |=================================================================
RocksDB 9.0
Test: Update Random
Op/s > Higher Is Better
a . 328045 |===================================================================
b . 322860 |==================================================================
RocksDB 9.0
Test: Sequential Fill
Op/s > Higher Is Better
a . 945889 |===================================================================
b . 899566 |================================================================
RocksDB 9.0
Test: Random Fill Sync
Op/s > Higher Is Better
a . 10748 |====================================================================
b . 10370 |==================================================================
RocksDB 9.0
Test: Read While Writing
Op/s > Higher Is Better
a . 1726017 |==================================================================
b . 1562855 |============================================================
RocksDB 9.0
Test: Read Random Write Random
Op/s > Higher Is Better
a . 1210989 |==================================================================
b . 1205546 |==================================================================