Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 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 2311191-PTS-FS16700400
fs
Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 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 22.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, 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 22.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, 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 22.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200
d:
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 22.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
s . 11.51 |====================================================================
b . 9.93 |===========================================================
c . 10.97 |=================================================================
d . 9.79 |==========================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
s . 14.23 |====================================================================
b . 13.78 |==================================================================
c . 13.78 |==================================================================
d . 13.81 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
s . 5.49 |===================================================================
b . 5.63 |=====================================================================
c . 5.62 |=====================================================================
d . 5.58 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
s . 13.86 |====================================================================
b . 13.65 |===================================================================
c . 13.79 |====================================================================
d . 13.53 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
batches/sec > Higher Is Better
s . 13.90 |====================================================================
b . 13.76 |===================================================================
c . 13.81 |====================================================================
d . 13.68 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
s . 5.54 |====================================================================
b . 5.61 |=====================================================================
c . 5.61 |=====================================================================
d . 5.62 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: ResNet-152
batches/sec > Higher Is Better
s . 5.55 |====================================================================
b . 5.60 |=====================================================================
c . 5.59 |=====================================================================
d . 5.62 |=====================================================================
Blender 4.0
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
s . 1100.02 |=================================================================
b . 1103.33 |=================================================================
c . 1101.16 |=================================================================
d . 1113.84 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 4.13 |=====================================================================
b . 4.08 |====================================================================
c . 4.12 |=====================================================================
d . 4.12 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 4.08 |====================================================================
b . 4.11 |=====================================================================
c . 4.13 |=====================================================================
d . 4.13 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 512 - Model: ResNet-152
batches/sec > Higher Is Better
s . 5.56 |====================================================================
b . 5.59 |=====================================================================
c . 5.59 |=====================================================================
d . 5.62 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
s . 5.57 |====================================================================
b . 5.58 |=====================================================================
c . 5.61 |=====================================================================
d . 5.62 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 7.37 |=====================================================================
b . 7.32 |=====================================================================
c . 7.36 |=====================================================================
d . 7.33 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 512 - Model: ResNet-50
batches/sec > Higher Is Better
s . 13.83 |====================================================================
b . 13.74 |====================================================================
c . 13.81 |====================================================================
d . 13.77 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
s . 13.82 |====================================================================
b . 13.75 |====================================================================
c . 13.79 |====================================================================
d . 13.79 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 4.10 |=====================================================================
b . 4.12 |=====================================================================
c . 4.12 |=====================================================================
d . 4.11 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 4.10 |=====================================================================
b . 4.11 |=====================================================================
c . 4.12 |=====================================================================
d . 4.12 |=====================================================================
Blender 4.0
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
s . 417.28 |===================================================================
b . 417.64 |===================================================================
c . 416.74 |===================================================================
d . 416.31 |===================================================================
Blender 4.0
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
s . 1401.88 |==================================================================
b . 1405.37 |==================================================================
c . 1401.13 |==================================================================
d . 1402.14 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
s . 4.11 |=====================================================================
b . 4.12 |=====================================================================
c . 4.12 |=====================================================================
d . 4.11 |=====================================================================
Blender 4.0
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
s . 528.21 |===================================================================
b . 528.72 |===================================================================
c . 528.01 |===================================================================
d . 528.78 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
s . 31.08 |====================================================================
b . 30.15 |==================================================================
c . 30.62 |===================================================================
d . 24.75 |======================================================