Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
11376
Single Precision Score
21440
Half Precision Score
8031
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MrZakioPCUK |
| Upload Date | June 20 2025 11:33 AM |
| Views | 9 |
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% |
4727
879.1 IPS |
|
|
Image Classification (HP)
|
99% |
9062
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
3811
710.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8104
131.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13972
226.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6851
111.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44831
52.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
145107
169.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
39039
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
5884
466.7 IPS |
|
|
Object Detection (HP)
|
100% |
11826
938.0 IPS |
|
|
Object Detection (Q)
|
84% |
4678
377.3 IPS |
|
|
Face Detection (SP)
|
100% |
13733
163.2 IPS |
|
|
Face Detection (HP)
|
100% |
23814
283.0 IPS |
|
|
Face Detection (Q)
|
97% |
11151
133.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26687
205.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58163
449.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
19485
156.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79167
101.8 IPS |
|
|
Style Transfer (HP)
|
100% |
243774
313.4 IPS |
|
|
Style Transfer (Q)
|
98% |
65856
84.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17086
630.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29280
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10945
405.3 IPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
99% |
2766
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1144
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1307
24.5 IPS |
