Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
5298
Single Precision Score
2116
Half Precision Score
8858
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 04:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3917
728.5 IPS |
|
|
Image Classification (HP)
|
100% |
773
143.8 IPS |
|
|
Image Classification (Q)
|
99% |
8842
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3849
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8081
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
6767
7.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
26976
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
4303
341.3 IPS |
|
|
Object Detection (HP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (Q)
|
86% |
9126
733.4 IPS |
|
|
Face Detection (SP)
|
100% |
10780
128.1 IPS |
|
|
Face Detection (HP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
11484
136.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10748
82.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3063
23.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
21705
173.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20970
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16531
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33907
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3427
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3130
115.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4726
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1998
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4449
89.4 IPS |
