Micro-Star International Co., Ltd. MS-7E26
Geekbench ML Score
3586
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 08 2025 08:23 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 16.0 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% |
1950
364.9 IPS |
|
|
Image Classification (F16)
|
100% |
1962
367.1 IPS |
|
|
Image Classification (I8)
|
99% |
4954
927.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1045
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1059
17.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2200
36.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6239
7.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
6243
7.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
21874
26.5 IPS |
|
|
Object Detection (F32)
|
100% |
2027
151.3 IPS |
|
|
Object Detection (F16)
|
100% |
2018
150.6 IPS |
|
|
Object Detection (I8)
|
62% |
1710
127.7 IPS |
|
|
Face Detection (F32)
|
100% |
3855
45.8 IPS |
|
|
Face Detection (F16)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (I8)
|
89% |
5520
65.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7366
57.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7326
56.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
16259
126.1 IPS |
|
|
Style Transfer (F32)
|
100% |
14976
19.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12541
16.5 IPS |
|
|
Style Transfer (I8)
|
98% |
24478
32.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2890
103.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2723
97.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3538
126.3 IPS |
|
|
Text Classification (F32)
|
100% |
1294
1.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1872
2.69 KIPS |
|
|
Text Classification (I8)
|
98% |
394
565.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2477
45.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2410
44.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3027
55.7 IPS |
