Micro-Star International Co., Ltd. MS-7E39
Geekbench AI Score
6117
Single Precision Score
8875
Half Precision Score
13741
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 09 2025 04:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3946
733.9 IPS |
|
|
Image Classification (HP)
|
100% |
5926
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8163
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4556
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8491
137.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12423
201.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12252
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11482
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
33870
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3727
295.7 IPS |
|
|
Object Detection (HP)
|
100% |
5239
415.5 IPS |
|
|
Object Detection (Q)
|
88% |
9174
735.2 IPS |
|
|
Face Detection (SP)
|
100% |
9721
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
16599
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
25730
305.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13095
100.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
22584
174.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
26223
203.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30785
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43278
55.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83998
108.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7918
292.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15245
564.6 IPS |
|
|
Text Classification (SP)
|
71% |
1902
2.75 KIPS |
|
|
Text Classification (HP)
|
71% |
2455
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2797
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
96% |
3176
54.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3153
54.3 IPS |
