Micro-Star International Co., Ltd MS-7C02
Geekbench AI Score
2849
Single Precision Score
2807
Half Precision Score
3394
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 01:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7C02 |
| Motherboard | Micro-Star International Co., Ltd B450 TOMAHAWK MAX (MS-7C02) |
| Power Plan | High 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 | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.4 IPS |
|
|
Image Classification (HP)
|
100% |
1611
299.6 IPS |
|
|
Image Classification (Q)
|
100% |
2048
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2509
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3962
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4038
4.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
5293
6.21 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
100% |
1875
148.7 IPS |
|
|
Object Detection (Q)
|
87% |
2361
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
4329
51.4 IPS |
|
|
Face Detection (Q)
|
97% |
7393
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5134
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4788
36.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
6073
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11312
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11550
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14988
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2417
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2945
109.1 IPS |
|
|
Text Classification (SP)
|
100% |
1902
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (Q)
|
91% |
615
827.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2669
46.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2594
44.7 IPS |
