| User | Gurutzo |
| Upload Date | November 08 2025 02:04 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Plus MB16250 |
| Motherboard | Dell Inc. 05PR76 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3957
735.8 IPS |
|
|
Image Classification (HP)
|
100% |
7190
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10133
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5018
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3561
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7363
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
34975
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74245
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
3670
291.1 IPS |
|
|
Object Detection (HP)
|
100% |
6210
492.6 IPS |
|
|
Object Detection (Q)
|
88% |
10475
839.7 IPS |
|
|
Face Detection (SP)
|
100% |
11516
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
18035
214.3 IPS |
|
|
Face Detection (Q)
|
100% |
34016
404.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9505
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18924
145.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35185
273.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21243
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55007
70.7 IPS |
|
|
Style Transfer (Q)
|
98% |
98935
127.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4500
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16302
602.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31558
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2224
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5087
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4752
81.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4759
82.0 IPS |