tigerlake wed 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. a: 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: 5.19.0-35-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 11.3.0, 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: 5.19.0-35-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 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 x: 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: 5.19.0-35-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 11.3.0, File-System: ext4, Screen Resolution: 1920x1200 Memcached 1.6.19 Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1213783.63 |============================================================ b . 1220201.94 |============================================================ x . 1270634.01 |=============================================================== Memcached 1.6.19 Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 817511.65 |============================================== b . 927600.82 |==================================================== x . 1120824.72 |=============================================================== Memcached 1.6.19 Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 832338.62 |================================================ b . 987237.02 |========================================================= x . 1100051.03 |=============================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 46.19 |=================================================== b . 48.68 |====================================================== x . 61.58 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 62.57 |=============================================================== b . 60.36 |============================================================= x . 67.83 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 65.10 |=============================================================== b . 63.04 |============================================================= x . 70.48 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 73.59 |================================================================== b . 71.55 |================================================================ x . 75.49 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 28.59 |=============================================================== b . 29.70 |================================================================== x . 30.73 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 9.86 |===================================================================== b . 9.82 |==================================================================== x . 9.90 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 28.88 |================================================================== b . 28.72 |================================================================== x . 29.54 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 10.10 |==================================================================== b . 10.11 |==================================================================== x . 10.13 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 29.64 |==================================================================== b . 29.60 |==================================================================== x . 29.76 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 10.41 |==================================================================== b . 10.44 |==================================================================== x . 10.32 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 31.68 |==================================================================== b . 31.64 |==================================================================== x . 31.62 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better Blender 3.5 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 419.75 |=================================================================== b . 418.45 |=================================================================== x . 418.28 |=================================================================== Blender 3.5 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 1150.17 |================================================================== b . 1151.37 |================================================================== x . 1151.40 |================================================================== Blender 3.5 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 556.33 |=================================================================== b . 557.53 |=================================================================== x . 558.06 |=================================================================== Blender 3.5 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better Blender 3.5 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 1494.28 |================================================================== b . 1498.76 |================================================================== x . 1494.59 |================================================================== nginx 1.23.2 Connections: 100 Requests Per Second > Higher Is Better a . 33256.16 |================================================================= b . 33356.18 |================================================================= x . 33383.15 |================================================================= nginx 1.23.2 Connections: 200 Requests Per Second > Higher Is Better a . 32027.17 |================================================================= b . 31979.61 |================================================================= x . 31996.60 |================================================================= nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better a . 30689.94 |================================================================= b . 30649.19 |================================================================= x . 30675.74 |================================================================= nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better a . 29638.35 |================================================================= b . 29471.03 |================================================================= x . 29473.03 |================================================================= Apache HTTP Server 2.4.56 Concurrent Requests: 100 Requests Per Second > Higher Is Better a . 53495.36 |================================================================= b . 53193.08 |================================================================= x . 53131.07 |================================================================= Apache HTTP Server 2.4.56 Concurrent Requests: 200 Requests Per Second > Higher Is Better a . 54677.17 |================================================================= b . 54992.05 |================================================================= x . 54579.65 |================================================================= Apache HTTP Server 2.4.56 Concurrent Requests: 500 Requests Per Second > Higher Is Better a . 45626.04 |================================================================= b . 45594.81 |================================================================= x . 45636.37 |================================================================= Apache HTTP Server 2.4.56 Concurrent Requests: 1000 Requests Per Second > Higher Is Better a . 45657.50 |================================================================= b . 45267.56 |================================================================ x . 45325.50 |=================================================================