Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
4284
Single Precision Score
1958
Half Precision Score
8261
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 07:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3423
636.5 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.1 IPS |
|
|
Image Classification (Q)
|
99% |
8098
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3968
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6172
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
5079
5.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
22905
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (HP)
|
100% |
940
74.5 IPS |
|
|
Object Detection (Q)
|
86% |
8574
689.1 IPS |
|
|
Face Detection (SP)
|
100% |
7680
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
10345
123.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8105
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2809
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17055
136.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16390
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13029
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28166
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2716
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2628
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4482
166.0 IPS |
|
|
Text Classification (SP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2230
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2721
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4724
94.9 IPS |
