Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
3960
Single Precision Score
1803
Half Precision Score
7366
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 03:32 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-7E30 |
| Motherboard | Micro-Star International Co., Ltd. B650M BOMBER WIFI (MS-7E30) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3187
592.7 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.4 IPS |
|
|
Image Classification (Q)
|
99% |
7617
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3573
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5923
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4818
5.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
21029
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
3032
240.5 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (Q)
|
86% |
7970
640.5 IPS |
|
|
Face Detection (SP)
|
100% |
5663
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
1846
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
9481
113.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7673
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2433
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14583
116.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13865
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12130
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18776
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3069
113.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4261
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2074
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4494
90.3 IPS |
