Micro-Star International Co., Ltd MS-7C02
Geekbench AI Score
2043
Single Precision Score
942
Half Precision Score
2138
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 01:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| 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% |
1610
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
1759
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3548
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
4223
4.99 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
58% |
1310
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
4139
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4409
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1415
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
4390
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7707
9.91 IPS |
|
|
Style Transfer (HP)
|
100% |
5941
7.64 IPS |
|
|
Style Transfer (Q)
|
87% |
7825
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1582
58.6 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
432
576.8 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1543
29.8 IPS |
