Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
11464
Single Precision Score
22117
Half Precision Score
8115
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MrZakioPCUK |
| Upload Date | June 19 2025 11:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 12GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C52 |
| Motherboard | Micro-Star International Co., Ltd. B450M-A PRO MAX (MS-7C52) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4681
870.6 IPS |
|
|
Image Classification (HP)
|
99% |
9202
1.72 KIPS |
|
|
Image Classification (Q)
|
99% |
3856
719.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8553
138.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14196
230.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6926
112.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45216
52.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
146747
171.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
39124
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
5751
456.1 IPS |
|
|
Object Detection (HP)
|
100% |
12111
960.7 IPS |
|
|
Object Detection (Q)
|
84% |
4744
382.6 IPS |
|
|
Face Detection (SP)
|
100% |
13797
163.9 IPS |
|
|
Face Detection (HP)
|
100% |
23849
283.4 IPS |
|
|
Face Detection (Q)
|
97% |
11192
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26920
207.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
60426
466.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
18907
151.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79354
102.0 IPS |
|
|
Style Transfer (HP)
|
100% |
255651
328.6 IPS |
|
|
Style Transfer (Q)
|
98% |
66577
85.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16971
626.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32226
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11234
416.0 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2914
3.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1190
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1327
24.9 IPS |
