Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
11433
Single Precision Score
21690
Half Precision Score
8053
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MrZakioPCUK |
| Upload Date | June 19 2025 11:49 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% |
4788
890.4 IPS |
|
|
Image Classification (HP)
|
99% |
9158
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
3818
712.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8421
136.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13600
220.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6681
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
44489
51.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
148719
173.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
37662
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
5672
449.9 IPS |
|
|
Object Detection (HP)
|
100% |
11913
945.0 IPS |
|
|
Object Detection (Q)
|
84% |
4683
377.7 IPS |
|
|
Face Detection (SP)
|
100% |
13740
163.3 IPS |
|
|
Face Detection (HP)
|
100% |
23985
285.0 IPS |
|
|
Face Detection (Q)
|
97% |
11077
132.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27463
211.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
57147
441.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
19509
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
79460
102.1 IPS |
|
|
Style Transfer (HP)
|
100% |
263338
338.5 IPS |
|
|
Style Transfer (Q)
|
98% |
67678
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16546
611.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29394
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11188
414.3 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
2842
3.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1181
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1320
24.8 IPS |
