Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
50513
Single Precision Score
77065
Half Precision Score
36575
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 06:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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% |
18117
3.37 KIPS |
|
|
Image Classification (HP)
|
100% |
24111
4.48 KIPS |
|
|
Image Classification (Q)
|
100% |
15540
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41357
670.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
54773
887.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
37798
614.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
404232
471.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
962501
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
325087
380.8 IPS |
|
|
Object Detection (SP)
|
100% |
25826
2.05 KIPS |
|
|
Object Detection (HP)
|
100% |
33549
2.66 KIPS |
|
|
Object Detection (Q)
|
85% |
21373
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
79703
947.0 IPS |
|
|
Face Detection (HP)
|
100% |
110122
1.31 KIPS |
|
|
Face Detection (Q)
|
97% |
61253
730.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
107577
828.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
196838
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75837
607.4 IPS |
|
|
Style Transfer (SP)
|
100% |
608080
781.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1797529
2.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
510155
657.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77602
2.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104704
3.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54745
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
4304
5.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2456
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7941
136.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8030
138.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3295
61.8 IPS |
