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.

TensorFlow 2.16.1

Device: CPU - Batch Size: 1 - Model: VGG-16

OpenBenchmarking.org metrics for this test profile configuration based on 43 public results since 26 March 2024 with the latest data as of 15 December 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
Details
Percentile Rank
# Compatible Public Results
images/sec (Average)
AMD EPYC 8534P 64-Core
Zen 4 [64 Cores / 128 Threads]
95th
4
11.42 +/- 0.02
Intel Xeon Gold 5412U
Sapphire Rapids [24 Cores / 48 Threads]
85th
3
9.81 +/- 0.17
Intel Core i9-14900K
Raptor Lake [24 Cores / 32 Threads]
78th
4
6.08
Mid-Tier
75th
< 6.08
AMD Ryzen 9 7950X 16-Core
Zen 4 [16 Cores / 32 Threads]
57th
6
5.42 +/- 0.58
Intel Xeon Silver 4216
Cascade Lake [16 Cores / 32 Threads]
57th
4
4.42
Median
50th
4.42
AMD Ryzen 7 3800XT 8-Core
Zen 2 [8 Cores / 16 Threads]
32nd
4
1.62 +/- 0.01
Low-Tier
25th
< 1.61
AMD Ryzen 5 5500U
Zen 2 [6 Cores / 12 Threads]
20th
4
1.39 +/- 0.01
AMD Ryzen 7 7840HS
Zen 4 [8 Cores / 16 Threads]
11th
4
1.16