Micro-Star International Co., Ltd. MS-7E39
Geekbench AI Score
3986
Single Precision Score
5346
Half Precision Score
2615
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 09 2025 04:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2498
464.5 IPS |
|
|
Image Classification (HP)
|
100% |
3176
590.7 IPS |
|
|
Image Classification (Q)
|
100% |
1703
316.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5020
81.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1498
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15415
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8736
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.1 IPS |
|
|
Object Detection (HP)
|
99% |
3141
249.9 IPS |
|
|
Object Detection (Q)
|
89% |
1610
128.9 IPS |
|
|
Face Detection (SP)
|
100% |
5182
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
4885
58.0 IPS |
|
|
Face Detection (Q)
|
97% |
2824
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8022
61.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12830
99.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
5948
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25301
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37400
48.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20031
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4275
157.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3043
112.7 IPS |
|
|
Text Classification (SP)
|
86% |
852
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
740
987.3 IPS |
|
|
Text Classification (Q)
|
83% |
571
777.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (Q)
|
60% |
713
15.9 IPS |
