Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.3.0 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 21.10 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 2205194-PTS-TFTIGER699 tf tiger - Phoronix Test Suite tf tiger Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.3.0 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 21.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2205194-PTS-TFTIGER699&grw&sor .
tf tiger Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution A B C Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads) Dell 0GG9PT (3.3.0 BIOS) Intel Tiger Lake-LP 16GB Kioxia KBG40ZNS256G NVMe 256GB Intel Xe TGL GT2 3GB (1300MHz) Realtek ALC289 Intel Wi-Fi 6 AX201 Ubuntu 21.10 5.13.0-40-generic (x86_64) GNOME Shell 40.5 X Server + Wayland 4.6 Mesa 21.2.2 1.2.182 GCC 11.2.0 ext4 1920x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x88 - Thermald 2.4.6 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
tf tiger tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 A B C 5544.16 91529.0 15053.5 4148.55 7313.95 88303.4 4716.69 78658.9 12743.9 4063.77 5759.93 85246.5 4855.75 87269.4 13366 4060.91 6241.66 84127.2 OpenBenchmarking.org
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: SqueezeNet B C A 1200 2400 3600 4800 6000 SE +/- 94.59, N = 15 4716.69 4855.75 5544.16
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Inception V4 B C A 20K 40K 60K 80K 100K SE +/- 808.74, N = 15 78658.9 87269.4 91529.0
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: NASNet Mobile B C A 3K 6K 9K 12K 15K SE +/- 205.00, N = 15 12743.9 13366.0 15053.5
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Mobilenet Float C B A 900 1800 2700 3600 4500 SE +/- 51.59, N = 15 4060.91 4063.77 4148.55
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Mobilenet Quant B C A 1600 3200 4800 6400 8000 SE +/- 343.70, N = 12 5759.93 6241.66 7313.95
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 C B A 20K 40K 60K 80K 100K SE +/- 394.72, N = 3 84127.2 85246.5 88303.4
Phoronix Test Suite v10.8.4