| User | Gurutzo |
| Upload Date | November 08 2025 02:08 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3937
732.1 IPS |
|
|
Image Classification (HP)
|
100% |
5989
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
7871
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9251
150.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11384
184.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11556
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10829
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
36451
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
3664
290.6 IPS |
|
|
Object Detection (HP)
|
100% |
5834
462.7 IPS |
|
|
Object Detection (Q)
|
88% |
9005
721.7 IPS |
|
|
Face Detection (SP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (HP)
|
100% |
16624
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
25801
306.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12580
96.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
21679
167.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24911
193.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28705
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39829
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85890
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5084
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9242
341.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14709
544.7 IPS |
|
|
Text Classification (SP)
|
71% |
1567
2.27 KIPS |
|
|
Text Classification (HP)
|
71% |
2379
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
2480
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2059
35.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3675
63.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3668
63.4 IPS |