Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
17455
Single Precision Score
29257
Half Precision Score
13973
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 29 2025 04:12 PM |
| 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 GAMING WIFI (MS-7E30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7109
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
12482
2.33 KIPS |
|
|
Image Classification (Q)
|
99% |
6494
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11829
191.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16063
260.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10999
178.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
86540
101.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
238221
278.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
77676
91.0 IPS |
|
|
Object Detection (SP)
|
100% |
8936
708.8 IPS |
|
|
Object Detection (HP)
|
100% |
15197
1.21 KIPS |
|
|
Object Detection (Q)
|
84% |
7863
634.2 IPS |
|
|
Face Detection (SP)
|
100% |
20213
240.2 IPS |
|
|
Face Detection (HP)
|
100% |
32988
392.0 IPS |
|
|
Face Detection (Q)
|
97% |
18230
217.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
42070
324.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
80837
622.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
34159
273.3 IPS |
|
|
Style Transfer (SP)
|
100% |
139540
179.4 IPS |
|
|
Style Transfer (HP)
|
100% |
352137
452.7 IPS |
|
|
Style Transfer (Q)
|
98% |
129396
166.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28437
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46498
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22031
815.8 IPS |
|
|
Text Classification (SP)
|
100% |
3115
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3538
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1991
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1841
34.5 IPS |
