Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
6200
Single Precision Score
6250
Half Precision Score
16848
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 11:45 PM |
| 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 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Balanced |
| 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% |
4104
763.2 IPS |
|
|
Image Classification (HP)
|
100% |
4179
777.2 IPS |
|
|
Image Classification (Q)
|
100% |
10916
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3856
62.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10257
166.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8234
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
8256
9.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
32985
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
3665
290.7 IPS |
|
|
Object Detection (HP)
|
100% |
3673
291.3 IPS |
|
|
Object Detection (Q)
|
88% |
11451
917.9 IPS |
|
|
Face Detection (SP)
|
100% |
8126
96.6 IPS |
|
|
Face Detection (HP)
|
100% |
7885
93.7 IPS |
|
|
Face Detection (Q)
|
100% |
27434
326.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10400
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10236
78.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
28388
220.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22487
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22374
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
85309
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4680
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16250
601.8 IPS |
|
|
Text Classification (SP)
|
100% |
4060
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.44 KIPS |
|
|
Text Classification (Q)
|
92% |
5893
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5490
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5410
93.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6853
118.1 IPS |
