Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
19382
Single Precision Score
34880
Half Precision Score
15024
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 11:31 AM |
| Views | 4 |
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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8020
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
14362
2.67 KIPS |
|
|
Image Classification (Q)
|
99% |
7121
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13103
212.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19143
310.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12217
198.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
99263
115.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
302895
353.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
83126
97.4 IPS |
|
|
Object Detection (SP)
|
100% |
10610
841.6 IPS |
|
|
Object Detection (HP)
|
100% |
17235
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
9117
736.6 IPS |
|
|
Face Detection (SP)
|
100% |
25110
298.4 IPS |
|
|
Face Detection (HP)
|
100% |
41476
492.8 IPS |
|
|
Face Detection (Q)
|
97% |
22226
265.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
48644
374.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98466
758.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
38895
311.0 IPS |
|
|
Style Transfer (SP)
|
100% |
150751
193.8 IPS |
|
|
Style Transfer (HP)
|
100% |
511742
657.9 IPS |
|
|
Style Transfer (Q)
|
98% |
127920
164.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27666
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53223
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21360
790.9 IPS |
|
|
Text Classification (SP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2048
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4446
76.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1838
34.5 IPS |
