Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
3686
Single Precision Score
1600
Half Precision Score
8054
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 08:01 AM |
| Views | 3 |
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 | Driver Booster Power Plan |
| 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% |
3911
727.4 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.7 IPS |
|
|
Image Classification (Q)
|
99% |
9037
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11114
180.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6141
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4230
4.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
26008
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3133
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (Q)
|
86% |
8928
717.5 IPS |
|
|
Face Detection (SP)
|
100% |
5889
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
9394
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6250
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2164
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7320
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11477
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10334
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24120
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5897
218.4 IPS |
|
|
Text Classification (SP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1551
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3247
65.2 IPS |
