Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
3927
Single Precision Score
1805
Half Precision Score
7283
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 01:25 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% |
3157
587.2 IPS |
|
|
Image Classification (HP)
|
100% |
735
136.8 IPS |
|
|
Image Classification (Q)
|
99% |
7251
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3593
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5783
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4692
5.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
20417
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
2900
230.1 IPS |
|
|
Object Detection (HP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (Q)
|
86% |
7531
605.3 IPS |
|
|
Face Detection (SP)
|
100% |
5457
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
9555
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7478
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2558
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15269
121.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14374
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11851
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18613
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2519
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4342
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2030
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2691
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4381
88.0 IPS |
