Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
4108
Single Precision Score
1879
Half Precision Score
7650
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| 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 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3280
610.1 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (Q)
|
99% |
7336
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3602
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6045
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
5060
5.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
21057
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
3059
242.6 IPS |
|
|
Object Detection (HP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
86% |
7537
605.8 IPS |
|
|
Face Detection (SP)
|
100% |
7023
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
9883
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7859
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2751
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16173
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15111
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12435
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26424
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2473
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4281
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2057
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2801
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4402
88.5 IPS |
