Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
17198
Single Precision Score
32745
Half Precision Score
33821
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 19 2025 01:42 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B570 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C52 |
| Motherboard | Micro-Star International Co., Ltd. B450M-A PRO MAX II (MS-7C52) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8742
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
17292
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
15771
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14505
235.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22097
358.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22949
372.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
72709
84.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
295217
344.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
534453
625.7 IPS |
|
|
Object Detection (SP)
|
100% |
7946
630.3 IPS |
|
|
Object Detection (HP)
|
100% |
17344
1.38 KIPS |
|
|
Object Detection (Q)
|
88% |
18232
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
19808
235.4 IPS |
|
|
Face Detection (HP)
|
100% |
40252
478.3 IPS |
|
|
Face Detection (Q)
|
100% |
45802
544.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53407
411.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110258
849.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
114301
888.9 IPS |
|
|
Style Transfer (SP)
|
100% |
147036
189.0 IPS |
|
|
Style Transfer (HP)
|
100% |
430671
553.6 IPS |
|
|
Style Transfer (Q)
|
98% |
478047
616.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25632
946.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45635
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39716
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2476
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1656
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2836
48.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3355
58.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3374
58.1 IPS |
