iBUYPOWER AMD Ryzen 7 7700X 8-Core Processor
Geekbench ML Score
3668
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | AnilDesai |
| Upload Date | August 16 2024 05:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | iBUYPOWER AMD Ryzen 7 7700X 8-Core Processor |
| Motherboard | ASRock B650M-C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2007
375.5 IPS |
|
|
Image Classification (F16)
|
100% |
1873
350.4 IPS |
|
|
Image Classification (I8)
|
99% |
5390
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1748
29.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1736
29.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2414
40.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5096
6.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
5364
6.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
24291
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
1771
132.2 IPS |
|
|
Object Detection (F16)
|
100% |
1787
133.4 IPS |
|
|
Object Detection (I8)
|
62% |
1794
133.9 IPS |
|
|
Face Detection (F32)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (F16)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (I8)
|
89% |
5003
59.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6947
53.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6498
50.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
16853
130.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12863
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
13829
18.2 IPS |
|
|
Style Transfer (I8)
|
98% |
25718
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2900
103.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2415
86.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4029
143.9 IPS |
|
|
Text Classification (F32)
|
100% |
1913
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
2077
2.98 KIPS |
|
|
Text Classification (I8)
|
98% |
402
577.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2293
42.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2299
42.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3291
60.6 IPS |
