Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3549
Single Precision Score
1662
Half Precision Score
6516
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2870
533.6 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
99% |
7044
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3346
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5625
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4717
5.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
20611
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2758
218.7 IPS |
|
|
Object Detection (HP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (Q)
|
86% |
7097
570.3 IPS |
|
|
Face Detection (SP)
|
100% |
6164
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
9392
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7092
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2562
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6952
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14155
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11849
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27429
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2314
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3662
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
1674
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1838
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3322
66.7 IPS |
