Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
1905
Single Precision Score
2083
Half Precision Score
1561
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 08:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
654
121.7 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
977
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6203
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
10407
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
5579
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.1 IPS |
|
|
Object Detection (Q)
|
87% |
665
53.4 IPS |
|
|
Face Detection (SP)
|
100% |
2062
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2059
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
1921
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3592
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4281
33.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3164
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11043
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16173
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9699
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2780
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3679
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2076
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
719
960.2 IPS |
|
|
Text Classification (HP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
500
670.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
70% |
601
11.3 IPS |
