Micro-Star International Co., Ltd MS-7C02
Geekbench AI Score
2194
Single Precision Score
1015
Half Precision Score
2544
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 24 2025 07:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600X |
| 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 (MS-7C02) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (Q)
|
96% |
2244
419.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
2682
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4545
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3558
4.15 IPS |
|
|
Pose Estimation (Q)
|
86% |
4589
5.42 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
485
38.5 IPS |
|
|
Object Detection (Q)
|
58% |
1432
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
4634
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5375
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1439
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4659
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9014
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7252
9.32 IPS |
|
|
Style Transfer (Q)
|
87% |
8183
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1534
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
805
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
424
565.7 IPS |
|
|
Text Classification (Q)
|
97% |
640
857.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1661
32.1 IPS |
