Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
50191
Single Precision Score
76572
Half Precision Score
36718
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 12:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18243
3.39 KIPS |
|
|
Image Classification (HP)
|
100% |
23870
4.44 KIPS |
|
|
Image Classification (Q)
|
100% |
15496
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39079
633.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
51186
829.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
35733
581.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
406506
474.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
968505
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316490
370.7 IPS |
|
|
Object Detection (SP)
|
100% |
25711
2.04 KIPS |
|
|
Object Detection (HP)
|
100% |
35119
2.79 KIPS |
|
|
Object Detection (Q)
|
85% |
21526
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
78260
929.9 IPS |
|
|
Face Detection (HP)
|
100% |
107929
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
61810
737.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
111870
861.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
199594
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79304
635.2 IPS |
|
|
Style Transfer (SP)
|
100% |
625461
804.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1805414
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
528998
682.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77872
2.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
106186
3.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55342
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4180
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5225
6.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2533
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
7640
131.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7728
133.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3249
60.9 IPS |
