Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
18876
Single Precision Score
33531
Half Precision Score
14794
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 01:27 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% |
8238
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
14827
2.76 KIPS |
|
|
Image Classification (Q)
|
99% |
7285
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11438
185.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15477
250.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10561
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
100479
117.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
303460
354.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
84533
99.0 IPS |
|
|
Object Detection (SP)
|
100% |
10478
831.1 IPS |
|
|
Object Detection (HP)
|
100% |
16534
1.31 KIPS |
|
|
Object Detection (Q)
|
83% |
9098
735.1 IPS |
|
|
Face Detection (SP)
|
100% |
23943
284.5 IPS |
|
|
Face Detection (HP)
|
100% |
38987
463.3 IPS |
|
|
Face Detection (Q)
|
97% |
21321
254.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
49116
378.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99612
767.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
39391
314.9 IPS |
|
|
Style Transfer (SP)
|
100% |
149922
192.7 IPS |
|
|
Style Transfer (HP)
|
100% |
516033
663.4 IPS |
|
|
Style Transfer (Q)
|
98% |
128517
165.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28160
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54190
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21860
809.5 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2128
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3666
63.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1691
31.7 IPS |
