Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
2003
Single Precision Score
2185
Half Precision Score
1646
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 08:09 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-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.2 IPS |
|
|
Image Classification (Q)
|
100% |
683
127.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6707
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
10912
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
6044
7.08 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
87% |
700
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
2259
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
2260
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
2108
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3858
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4583
35.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3383
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11358
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16374
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10028
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2828
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2151
79.7 IPS |
|
|
Text Classification (SP)
|
100% |
738
985.4 IPS |
|
|
Text Classification (HP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
512
686.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
70% |
630
11.8 IPS |
