Micro-Star International Co., Ltd. MS-7E39
Geekbench AI Score
5906
Single Precision Score
2147
Half Precision Score
3276
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 09 2025 04:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E39 |
| Motherboard | Micro-Star International Co., Ltd. MAG B860 TOMAHAWK WIFI (MS-7E39) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4535
843.4 IPS |
|
|
Image Classification (HP)
|
100% |
1447
269.2 IPS |
|
|
Image Classification (Q)
|
100% |
2041
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3785
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8678
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7196
8.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
15619
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
4277
339.2 IPS |
|
|
Object Detection (HP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (Q)
|
87% |
2089
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
12440
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
5921
70.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10949
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4498
34.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
8028
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25595
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12494
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21953
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5460
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2933
108.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5527
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
551
735.3 IPS |
|
|
Text Classification (Q)
|
92% |
558
749.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2776
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
100% |
856
14.8 IPS |
