Micro-Star International Co., Ltd MS-7C02
Geekbench AI Score
2471
Single Precision Score
3451
Half Precision Score
1829
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX Vega 11 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7C02 |
| Motherboard | Micro-Star International Co., Ltd B450 TOMAHAWK MAX (MS-7C02) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2400G |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 3.85 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
966
179.7 IPS |
|
|
Image Classification (HP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (Q)
|
100% |
876
162.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
894
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10398
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18127
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
8198
9.60 IPS |
|
|
Object Detection (SP)
|
100% |
1062
84.3 IPS |
|
|
Object Detection (HP)
|
100% |
1358
107.8 IPS |
|
|
Object Detection (Q)
|
88% |
945
75.8 IPS |
|
|
Face Detection (SP)
|
100% |
2230
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
1869
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5510
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8061
62.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
4263
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18458
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29733
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13881
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5180
191.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2255
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
743
992.2 IPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
507
678.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (Q)
|
70% |
549
10.3 IPS |
