Micro-Star International Co., Ltd. MS-7C52
Geekbench AI Score
3047
Single Precision Score
3071
Half Precision Score
3556
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MrZakioPCUK |
| Upload Date | June 19 2025 11:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| 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% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
1938
360.5 IPS |
|
|
Image Classification (Q)
|
100% |
2218
412.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2761
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4625
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4643
5.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
5202
6.10 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (Q)
|
87% |
2342
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
4414
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (Q)
|
97% |
7571
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5305
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5322
41.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
5995
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13104
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13037
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14883
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2726
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2735
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3060
113.3 IPS |
|
|
Text Classification (SP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (Q)
|
91% |
708
951.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2943
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2925
50.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2966
51.1 IPS |
