Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
3964
Single Precision Score
1872
Half Precision Score
7787
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 09:21 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 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3147
585.2 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
99% |
7933
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3831
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5874
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5008
5.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
21862
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
3127
248.0 IPS |
|
|
Object Detection (HP)
|
100% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
86% |
8145
654.6 IPS |
|
|
Face Detection (SP)
|
100% |
5610
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
9984
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7673
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2623
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16217
129.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13942
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11979
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20258
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2731
100.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2358
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4414
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2254
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2669
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4647
93.4 IPS |
