Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
17766
Single Precision Score
29465
Half Precision Score
14049
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 06:09 AM |
| Views | 3 |
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 GAMING 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7210
1.34 KIPS |
|
|
Image Classification (HP)
|
99% |
12494
2.33 KIPS |
|
|
Image Classification (Q)
|
99% |
6525
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11953
193.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16307
264.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10974
178.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
87534
102.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
241952
282.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
77755
91.1 IPS |
|
|
Object Detection (SP)
|
100% |
9015
715.1 IPS |
|
|
Object Detection (HP)
|
100% |
15561
1.23 KIPS |
|
|
Object Detection (Q)
|
84% |
7968
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
21134
251.1 IPS |
|
|
Face Detection (HP)
|
100% |
33825
401.9 IPS |
|
|
Face Detection (Q)
|
97% |
18837
224.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42821
329.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
80286
618.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
35028
280.2 IPS |
|
|
Style Transfer (SP)
|
100% |
143162
184.0 IPS |
|
|
Style Transfer (HP)
|
100% |
348173
447.6 IPS |
|
|
Style Transfer (Q)
|
98% |
124787
160.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29157
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46858
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22160
820.5 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3740
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1997
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3881
66.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1854
34.8 IPS |
