Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
4000
Single Precision Score
1826
Half Precision Score
7396
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:52 AM |
| Views | 4 |
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 GAMING 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3593
668.3 IPS |
|
|
Image Classification (HP)
|
100% |
744
138.3 IPS |
|
|
Image Classification (Q)
|
99% |
8059
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3761
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4222
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4644
5.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
16018
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2907
230.6 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
6790
545.7 IPS |
|
|
Face Detection (SP)
|
100% |
5825
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
2008
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
9990
119.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7946
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2584
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16347
130.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15261
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12327
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19184
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2901
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2521
93.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4382
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2273
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2816
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4764
95.7 IPS |
