Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
4098
Single Precision Score
1681
Half Precision Score
7929
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 10:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 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% |
3508
652.3 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
6127
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7047
114.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5095
5.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
26579
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3264
258.9 IPS |
|
|
Object Detection (HP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (Q)
|
86% |
8902
715.4 IPS |
|
|
Face Detection (SP)
|
100% |
6186
73.5 IPS |
|
|
Face Detection (HP)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
10743
128.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9640
74.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2511
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7947
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16587
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14099
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27821
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2324
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6362
235.6 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1841
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3460
69.5 IPS |
