Micro-Star International Co., Ltd. MS-7E39
Geekbench AI Score
5913
Single Precision Score
2150
Half Precision Score
3260
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 09 2025 04:54 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% |
4446
826.9 IPS |
|
|
Image Classification (HP)
|
100% |
1527
283.9 IPS |
|
|
Image Classification (Q)
|
100% |
2085
387.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3616
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
794
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8464
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
7191
8.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
15591
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
4280
339.5 IPS |
|
|
Object Detection (HP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (Q)
|
87% |
1921
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
12736
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
5888
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11194
86.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4475
34.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
8023
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25841
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12425
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22133
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5456
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2995
110.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5217
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
547
730.5 IPS |
|
|
Text Classification (Q)
|
92% |
557
748.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
100% |
900
15.5 IPS |
