Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
51524
Single Precision Score
78269
Half Precision Score
37324
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 01:57 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18247
3.39 KIPS |
|
|
Image Classification (HP)
|
100% |
24055
4.47 KIPS |
|
|
Image Classification (Q)
|
100% |
15766
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39900
646.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
51846
840.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
36702
596.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
425019
495.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1061930
1.24 KIPS |
|
|
Pose Estimation (Q)
|
96% |
337345
395.2 IPS |
|
|
Object Detection (SP)
|
100% |
27299
2.17 KIPS |
|
|
Object Detection (HP)
|
100% |
36716
2.91 KIPS |
|
|
Object Detection (Q)
|
85% |
22002
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
80332
954.5 IPS |
|
|
Face Detection (HP)
|
100% |
109076
1.30 KIPS |
|
|
Face Detection (Q)
|
97% |
61767
736.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
111315
857.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
200581
1.55 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79264
634.9 IPS |
|
|
Style Transfer (SP)
|
100% |
635637
817.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1872379
2.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
529786
683.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80692
2.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
105525
3.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56708
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
4353
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2527
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
7819
134.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7870
135.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3287
61.7 IPS |
