Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
3790
Single Precision Score
1780
Half Precision Score
7515
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 06:04 AM |
| 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 GAMING 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3187
592.8 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.0 IPS |
|
|
Image Classification (Q)
|
99% |
7584
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3547
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5238
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4585
5.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
21094
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2557
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (Q)
|
86% |
7365
591.9 IPS |
|
|
Face Detection (SP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
9287
110.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7460
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2596
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14879
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13622
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11428
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25834
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4086
151.3 IPS |
|
|
Text Classification (SP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2100
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4491
90.2 IPS |
