Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
11430
Single Precision Score
11424
Half Precision Score
29567
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BantalBambu |
| Upload Date | March 26 2026 01:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (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 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7310
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7317
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
18268
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7818
126.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7822
126.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20316
329.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14186
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14205
16.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
55760
65.3 IPS |
|
|
Object Detection (SP)
|
100% |
7158
567.8 IPS |
|
|
Object Detection (HP)
|
100% |
7126
565.2 IPS |
|
|
Object Detection (Q)
|
88% |
19252
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
16340
194.2 IPS |
|
|
Face Detection (HP)
|
100% |
16326
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
47323
562.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17178
132.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17233
132.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
52048
405.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38809
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38927
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
142488
183.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9097
335.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9098
335.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27413
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5913
7.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5891
7.86 KIPS |
|
|
Text Classification (Q)
|
92% |
9223
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
11201
192.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11140
191.9 IPS |
|
|
Machine Translation (Q)
|
100% |
14448
248.9 IPS |
