TensorFlow This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics.
To run this test with the Phoronix Test Suite , the basic command is: phoronix-test-suite benchmark tensorflow .
Test Created 6 February 2017
Last Updated 26 March 2024
Test Type System
Average Install Time 1 Minute, 5 Seconds
Average Run Time 1 Minute, 51 Seconds
Test Dependencies Python
Accolades 80k+ Downloads
Public Result Uploads * Reported Installs ** Reported Test Completions ** Test Profile Page Views *** OpenBenchmarking.org Events Tensorflow Popularity Statistics pts/tensorflow 2017.02 2017.05 2017.08 2017.11 2018.02 2018.05 2018.08 2018.11 2019.02 2019.05 2019.08 2019.11 2020.02 2020.05 2020.08 2020.11 2021.02 2021.05 2021.08 2021.11 2022.02 2022.05 2022.08 2022.11 2023.02 2023.05 2023.08 2023.11 2024.02 2024.05 2024.08 6K 12K 18K 24K 30K
* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly. ** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform. *** Test profile page view reporting began March 2021. Data updated weekly as of 12 August 2024.
32 14.9% 256 15.8% 1 18.9% 64 20.4% 512 13.6% 16 16.3% Batch Size Option Popularity OpenBenchmarking.org
GoogLeNet 30.6% AlexNet 29.2% ResNet-50 40.2% Model Option Popularity OpenBenchmarking.org
Revision Historypts/tensorflow-2.2.0 [View Source ] Tue, 26 Mar 2024 13:32:06 GMT Update against TensorFlow 2.16.1 upstream.
pts/tensorflow-2.1.1 [View Source ] Sat, 06 Jan 2024 17:48:46 GMT Add NVIDIA GPU CUDA option.
pts/tensorflow-2.1.0 [View Source ] Tue, 28 Mar 2023 16:38:47 GMT Update against TensorFlow 2.12 upstream to work with newer distros / Python.
pts/tensorflow-2.0.0 [View Source ] Fri, 07 Oct 2022 12:18:59 GMT Update this, get it going against TF 2.10 upstream...
pts/tensorflow-1.1.0 [View Source ] Fri, 06 Mar 2020 07:23:10 GMT Rework test, increase max steps to 1000
pts/tensorflow-1.0.0 [View Source ] Mon, 06 Feb 2017 18:08:28 GMT Initial commit of TensorFlow benchmark
Performance MetricsAnalyze Test Configuration: pts/tensorflow-2.2.x - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec) pts/tensorflow-2.2.x - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 64 - Model: VGG-16 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 512 - Model: VGG-16 (images/sec) pts/tensorflow-2.1.x - Device: CPU - Batch Size: 256 - Model: VGG-16 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 64 - Model: VGG-16 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 256 - Model: VGG-16 (images/sec) pts/tensorflow-2.0.x - Device: CPU - Batch Size: 512 - Model: VGG-16 (images/sec) pts/tensorflow-1.1.x - Build: Cifar10 (Seconds) pts/tensorflow-1.0.x - Build: Cifar10 (Seconds) TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org metrics for this test profile configuration based on 341 public results since 26 March 2024 with the latest data as of 12 August 2024 .
Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.
Component
Percentile Rank
# Compatible Public Results
images/sec (Average)
OpenBenchmarking.org Distribution Of Public Results - Device: CPU - Batch Size: 64 - Model: ResNet-50 318 Results Range From 5 To 121 images/sec 5 15 25 35 45 55 65 75 85 95 105 115 125 16 32 48 64 80
Based on OpenBenchmarking.org data, the selected test / test configuration (TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50 ) has an average run-time of 16 minutes . By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.
OpenBenchmarking.org Minutes Time Required To Complete Benchmark Device: CPU - Batch Size: 64 - Model: ResNet-50 Run-Time 10 20 30 40 50 Min: 3 / Avg: 15.26 / Max: 49
Tested CPU Architectures This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.
CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
Recent Test Results
1 System - 1 Benchmark Result
AMD Ryzen Threadripper PRO 3955WX 16-Cores - ASUS Pro WS WRX80E-SAGE SE WIFI - AMD Starship
Fedora Linux 40 - 6.9.11-200.fc40.x86_64 - GNOME Shell 46.3.1
2 Systems - 413 Benchmark Results
AMD Ryzen 7 4700U - LENOVO IdeaPad 5 14ARE05 LNVNB161216 - AMD Renoir
Ubuntu 24.04 - 6.10.0-phx - GNOME Shell 46.0
1 System - 275 Benchmark Results
Intel Core i5-12500 - ASUS PRIME Z690M-HZ - Intel Alder Lake-S PCH
Debian 12 - 6.1.0-21-amd64 - GCC 12.2.0
1 System - 88 Benchmark Results
Intel Celeron N3450 - IceWhale ZimaBoard 832 - Intel Celeron N3350
Debian 12 - 6.1.0-23-amd64 - GCC 12.2.0
1 System - 87 Benchmark Results
Intel N97 - GMKtec - 4 x 3GB LPDDR5-4800MT
Fedora 40 - 6.9.9-1-default - GCC 14.1.1 20240701
1 System - 85 Benchmark Results
ARMv8 Cortex-A76 - Raspberry Pi 5 Model B Rev 1.0 - Broadcom BCM2712
Debian 12 - 6.6.31+rpt-rpi-2712 - X Server
1 System - 87 Benchmark Results
Intel N97 - GMKtec - 12GB
Fedora Linux 40 - 6.9.9-1-default - GCC 14.1.1 20240701
1 System - 53 Benchmark Results
Apple M1 - Apple Mac mini - Apple Silicon
Fedora 40 - 6.9.9-403.asahi.fc40.aarch64+16k - GCC 14.1.1 20240701
1 System - 86 Benchmark Results
QEMU Virtual 2.5+ - QEMU Standard PC - 12GB
openSUSE 20240607 - 6.9.7-1-default - GCC 13.3.0
1 System - 50 Benchmark Results
QEMU Virtual 2.5+ - QEMU Standard PC - 8GB
openSUSE 20240607 - 6.9.7-1-default - Wayland
1 System - 4 Benchmark Results
QEMU Virtual 2.5+ - QEMU Standard PC - 8GB
openSUSE 20240607 - 6.9.7-1-default - Wayland
1 System - 1 Benchmark Result
AMD Ryzen 9 7950X3D 16-Core - MSI MAG X670E TOMAHAWK WIFI - AMD Device 14d8
Ubuntu 22.04 - 6.5.0-41-generic - GNOME Shell 42.9
1 System - 14 Benchmark Results
Intel Xeon E5-2667 v3 - Blade Shadow ShadowM v2.0 - Intel 82G33
Ubuntu 22.04 - 5.15.0-113-generic - NVIDIA
1 System - 14 Benchmark Results
Intel Xeon E5-2667 v3 - Blade Shadow ShadowM v2.0 - Intel 82G33
Ubuntu 22.04 - 5.15.0-113-generic - NVIDIA
1 System - 14 Benchmark Results
AMD EPYC 7543P 32-Core - Blade Shadow ShadowM v2.0 - Intel 82G33
Ubuntu 22.04 - 5.15.0-113-generic - X Server
Most Popular Test Results
2 Systems - 42 Benchmark Results
AMD Ryzen 9 5900HX - ASUS ROG Strix G513QY_G513QY G513QY v1.0 - AMD Renoir
Ubuntu 22.10 - 5.19.0-46-generic - GNOME Shell 43.0
2 Systems - 108 Benchmark Results
Intel Core i7-1065G7 - Dell 06CDVY - Intel Ice Lake-LP DRAM
Ubuntu 23.10 - 6.7.0-060700rc5-generic - GNOME Shell 45.1
3 Systems - 55 Benchmark Results
2 x AMD EPYC 9684X 96-Core - AMD Titanite_4G - AMD Device 14a4
Ubuntu 23.10 - 6.5.0-25-generic - GCC 13.2.0
2 Systems - 32 Benchmark Results
2 x INTEL XEON PLATINUM 8592+ - Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS - Intel Device 1bce
Ubuntu 23.10 - 6.6.0-rc5-phx-patched - GNOME Shell 45.0
2 Systems - 29 Benchmark Results
AMD EPYC 8534P 64-Core - AMD Cinnabar - AMD Device 14a4
Ubuntu 23.10 - 6.8.1-060801-generic - GNOME Shell 45.2
2 Systems - 40 Benchmark Results
AMD Ryzen 9 7950X 16-Core - ASUS ROG STRIX X670E-E GAMING WIFI - AMD Device 14d8
Ubuntu 23.10 - 6.7.0-060700-generic - GNOME Shell 45.2
2 Systems - 26 Benchmark Results
Intel Core i9-14900K - ASUS PRIME Z790-P WIFI - Intel Device 7a27
Ubuntu 23.10 - 6.8.0-phx - GNOME Shell 45.1
3 Systems - 413 Benchmark Results
Intel Core Ultra 7 155H - MTL Swift SFG14-72T Coral_MTH - Intel Device 7e7f
Ubuntu 24.04 - 6.10.0-061000rc4daily20240621-generic - GNOME Shell 46.0
2 Systems - 47 Benchmark Results
Intel Core i9-10980XE - ASRock X299 Steel Legend - Intel Sky Lake-E DMI3 Registers
Ubuntu 22.04 - 6.5.0-18-generic - GNOME Shell 42.2
2 Systems - 27 Benchmark Results
Intel Xeon Silver 4216 - TYAN S7100AG2NR - Intel Sky Lake-E DMI3 Registers
Debian 12 - 6.1.0-11-amd64 - X Server
2 Systems - 42 Benchmark Results
AMD Ryzen 5 5500U - NB01 TUXEDO Aura 15 Gen2 NL5xNU - AMD Renoir
Tuxedo 22.04 - 6.5.0-10027-tuxedo - KDE Plasma 5.27.10
2 Systems - 49 Benchmark Results
2 x AMD EPYC 9684X 96-Core - AMD Titanite_4G - AMD Device 14a4
Ubuntu 23.10 - 6.5.0-25-generic - GCC 13.2.0
Featured Kernel Comparison
2 x Intel Xeon Max 9480 - Supermicro SYS-221H-TNR X13DEM v1.10 - Intel Device 1bce
Ubuntu 23.10 - 6.8.0-060800-generic - GNOME Shell 45.0
2 Systems - 34 Benchmark Results
Intel Core Ultra 7 155H - MTL Swift SFG14-72T Coral_MTH - Intel Device 7e7f
Ubuntu 23.10 - 6.8.0-060800rc1daily20240126-generic - GNOME Shell 45.2
2 Systems - 22 Benchmark Results
AMD EPYC 7F32 8-Core - ASRockRack EPYCD8 - AMD Starship
Debian 12 - 6.1.0-11-amd64 - X Server