Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
2993
Single Precision Score
1463
Half Precision Score
6296
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 06:01 AM |
| Views | 5 |
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% |
2246
417.7 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.2 IPS |
|
|
Image Classification (Q)
|
99% |
6915
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3258
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4447
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3912
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
19448
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (Q)
|
86% |
6703
538.7 IPS |
|
|
Face Detection (SP)
|
100% |
5593
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
9045
107.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6258
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2276
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6867
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11501
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9931
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25778
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3572
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
1558
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.7 IPS |
|
|
Text Classification (Q)
|
97% |
1777
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3282
65.9 IPS |
