Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
6272
Single Precision Score
6248
Half Precision Score
17113
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 11:54 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% |
4115
765.3 IPS |
|
|
Image Classification (HP)
|
100% |
4198
780.7 IPS |
|
|
Image Classification (Q)
|
100% |
10796
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4122
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3685
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11191
181.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8130
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
8141
9.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
32710
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (HP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (Q)
|
88% |
11170
895.4 IPS |
|
|
Face Detection (SP)
|
100% |
8066
95.8 IPS |
|
|
Face Detection (HP)
|
100% |
7877
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
28054
333.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10194
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10287
79.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
28315
220.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22254
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22278
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85227
109.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4927
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16580
614.0 IPS |
|
|
Text Classification (SP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4087
5.45 KIPS |
|
|
Text Classification (Q)
|
92% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5223
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5360
92.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7365
126.9 IPS |
