Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
17857
Single Precision Score
29214
Half Precision Score
14234
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 07 2025 09:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
7696
1.43 KIPS |
|
|
Image Classification (HP)
|
99% |
13303
2.48 KIPS |
|
|
Image Classification (Q)
|
99% |
6948
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10852
175.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13706
222.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9981
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
91018
106.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
241249
281.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
78361
91.8 IPS |
|
|
Object Detection (SP)
|
100% |
9386
744.5 IPS |
|
|
Object Detection (HP)
|
100% |
15989
1.27 KIPS |
|
|
Object Detection (Q)
|
84% |
8283
668.1 IPS |
|
|
Face Detection (SP)
|
100% |
20415
242.6 IPS |
|
|
Face Detection (HP)
|
100% |
31126
369.8 IPS |
|
|
Face Detection (Q)
|
97% |
18246
217.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44586
343.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
84691
652.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
36778
294.2 IPS |
|
|
Style Transfer (SP)
|
100% |
148120
190.4 IPS |
|
|
Style Transfer (HP)
|
100% |
363858
467.7 IPS |
|
|
Style Transfer (Q)
|
98% |
131030
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30975
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49855
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23289
862.4 IPS |
|
|
Text Classification (SP)
|
100% |
3315
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2084
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1778
33.4 IPS |
