Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
47379
Single Precision Score
71613
Half Precision Score
34428
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 08:02 AM |
| Views | 2 |
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 |
| 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% |
18020
3.35 KIPS |
|
|
Image Classification (HP)
|
100% |
23390
4.35 KIPS |
|
|
Image Classification (Q)
|
100% |
15219
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31612
512.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
39247
636.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
28951
470.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
395445
461.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
940365
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314174
368.0 IPS |
|
|
Object Detection (SP)
|
100% |
25675
2.04 KIPS |
|
|
Object Detection (HP)
|
100% |
34307
2.72 KIPS |
|
|
Object Detection (Q)
|
85% |
20912
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
75976
902.8 IPS |
|
|
Face Detection (HP)
|
100% |
104099
1.24 KIPS |
|
|
Face Detection (Q)
|
97% |
59544
710.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
105876
815.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
193744
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74980
600.6 IPS |
|
|
Style Transfer (SP)
|
100% |
594487
764.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1750526
2.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
495715
639.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73941
2.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99669
3.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51692
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
4268
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2399
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6531
112.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6587
113.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2945
55.2 IPS |
