Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
18834
Single Precision Score
33771
Half Precision Score
14674
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 03:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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% |
8235
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
14935
2.78 KIPS |
|
|
Image Classification (Q)
|
99% |
7305
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11357
184.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15711
254.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10541
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
99758
116.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
303419
354.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
83553
97.9 IPS |
|
|
Object Detection (SP)
|
100% |
10570
838.4 IPS |
|
|
Object Detection (HP)
|
100% |
16841
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
9085
734.0 IPS |
|
|
Face Detection (SP)
|
100% |
23831
283.2 IPS |
|
|
Face Detection (HP)
|
100% |
38986
463.2 IPS |
|
|
Face Detection (Q)
|
97% |
20905
249.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
48844
376.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99468
766.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
38915
311.1 IPS |
|
|
Style Transfer (SP)
|
100% |
148451
190.8 IPS |
|
|
Style Transfer (HP)
|
100% |
513478
660.1 IPS |
|
|
Style Transfer (Q)
|
98% |
126127
162.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28080
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54476
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21867
809.7 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2119
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1666
31.3 IPS |
