Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
6583
Single Precision Score
6432
Half Precision Score
18287
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 08:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| 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% |
3952
735.0 IPS |
|
|
Image Classification (HP)
|
100% |
3983
740.7 IPS |
|
|
Image Classification (Q)
|
100% |
12272
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4984
80.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3724
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12500
202.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8004
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
7928
9.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
33947
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3874
307.3 IPS |
|
|
Object Detection (HP)
|
100% |
3829
303.7 IPS |
|
|
Object Detection (Q)
|
88% |
12344
989.5 IPS |
|
|
Face Detection (SP)
|
100% |
8617
102.4 IPS |
|
|
Face Detection (HP)
|
100% |
9190
109.2 IPS |
|
|
Face Detection (Q)
|
100% |
30009
356.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10579
81.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11030
85.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30388
236.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22433
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23380
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
86288
111.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4979
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5033
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17155
635.3 IPS |
|
|
Text Classification (SP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5969
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
6019
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5741
98.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8076
139.1 IPS |
