Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
3789
Single Precision Score
1812
Half Precision Score
7991
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 08:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| 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 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3051
567.4 IPS |
|
|
Image Classification (HP)
|
100% |
719
133.7 IPS |
|
|
Image Classification (Q)
|
99% |
7858
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9091
147.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5691
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4616
5.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
21755
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2887
229.0 IPS |
|
|
Object Detection (HP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (Q)
|
86% |
7631
613.3 IPS |
|
|
Face Detection (SP)
|
100% |
5973
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
10366
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7170
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2670
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7617
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13563
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12060
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27697
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2510
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5747
212.8 IPS |
|
|
Text Classification (SP)
|
100% |
2051
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2399
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4017
80.7 IPS |
