Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
3954
Single Precision Score
1788
Half Precision Score
7564
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 06:02 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% |
3273
608.8 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.6 IPS |
|
|
Image Classification (Q)
|
99% |
7648
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3569
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5501
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4766
5.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
21739
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2898
229.9 IPS |
|
|
Object Detection (HP)
|
100% |
872
69.2 IPS |
|
|
Object Detection (Q)
|
86% |
7481
601.2 IPS |
|
|
Face Detection (SP)
|
100% |
7293
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
1962
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
9260
110.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7765
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2504
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15317
122.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13504
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11592
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26271
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2625
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4088
151.4 IPS |
|
|
Text Classification (SP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
910
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2041
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4447
89.4 IPS |
