Micro-Star International Co., Ltd. MS-7E39
Geekbench AI Score
5947
Single Precision Score
5924
Half Precision Score
14546
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | January 09 2025 04:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4436
825.0 IPS |
|
|
Image Classification (HP)
|
100% |
4465
830.4 IPS |
|
|
Image Classification (Q)
|
100% |
9963
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3620
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6973
113.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8702
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8515
9.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
33274
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
4162
330.1 IPS |
|
|
Object Detection (HP)
|
100% |
4253
337.4 IPS |
|
|
Object Detection (Q)
|
88% |
10734
860.4 IPS |
|
|
Face Detection (SP)
|
100% |
12887
153.1 IPS |
|
|
Face Detection (HP)
|
100% |
12688
150.8 IPS |
|
|
Face Detection (Q)
|
100% |
26988
320.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11204
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11252
86.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
30220
235.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25894
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25752
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91818
118.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5444
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5443
201.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17296
640.5 IPS |
|
|
Text Classification (SP)
|
100% |
1666
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (Q)
|
92% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2785
48.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2723
46.9 IPS |
