Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
4159
Single Precision Score
1968
Half Precision Score
8289
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 08:42 AM |
| Views | 4 |
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% |
3489
648.8 IPS |
|
|
Image Classification (HP)
|
100% |
780
145.0 IPS |
|
|
Image Classification (Q)
|
99% |
7721
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8620
140.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6196
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5117
5.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
21369
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3190
253.0 IPS |
|
|
Object Detection (HP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (Q)
|
86% |
7918
636.4 IPS |
|
|
Face Detection (SP)
|
100% |
5665
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
1994
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
9243
110.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7872
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2649
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16835
134.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15008
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12532
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17981
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3001
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2596
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5748
212.8 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1952
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2640
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4332
87.0 IPS |
