Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
955
Single Precision Score
1038
Half Precision Score
763
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Diagonal |
| Upload Date | December 24 2025 02:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon R7 200 Series |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
100% |
372
69.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
523
8.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
2392
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
1774
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (Q)
|
86% |
445
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1048
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
834
9.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
1671
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1761
13.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1462
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4476
5.75 IPS |
|
|
Style Transfer (HP)
|
100% |
4799
6.17 IPS |
|
|
Style Transfer (Q)
|
98% |
4164
5.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
939
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.8 IPS |
|
|
Text Classification (HP)
|
100% |
424
565.8 IPS |
|
|
Text Classification (Q)
|
97% |
257
344.2 IPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
96% |
882
15.3 IPS |
|
|
Machine Translation (Q)
|
70% |
360
6.75 IPS |
