Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
2817
Single Precision Score
1390
Half Precision Score
5360
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 10:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8500G |
| 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 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2362
439.2 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
99% |
5839
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2940
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4732
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3930
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
16540
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
86% |
5959
478.9 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7787
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6286
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2129
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6315
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11119
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9774
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16235
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2049
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1946
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3176
117.6 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.8 IPS |
|
|
Text Classification (Q)
|
97% |
1745
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2615
52.5 IPS |
