Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
4440
Single Precision Score
1991
Half Precision Score
8277
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 12:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3628
674.7 IPS |
|
|
Image Classification (HP)
|
100% |
772
143.5 IPS |
|
|
Image Classification (Q)
|
99% |
8149
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3953
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6648
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5311
6.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
23169
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
3355
266.1 IPS |
|
|
Object Detection (HP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (Q)
|
86% |
8549
687.1 IPS |
|
|
Face Detection (SP)
|
100% |
7396
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
10687
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8217
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2900
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17161
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16466
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13815
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27521
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3000
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2747
101.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2261
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2842
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4726
95.0 IPS |
