| User | nithinmohantk |
| Upload Date | February 15 2026 07:27 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265HX |
| 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 | Balanced |
| 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% |
4729
879.4 IPS |
|
|
Image Classification (HP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (Q)
|
99% |
9305
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15132
246.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13259
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7385
8.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
40169
47.1 IPS |
|
|
Object Detection (SP)
|
100% |
4764
377.9 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.3 IPS |
|
|
Object Detection (Q)
|
86% |
10659
856.6 IPS |
|
|
Face Detection (SP)
|
100% |
14301
169.9 IPS |
|
|
Face Detection (HP)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
11922
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8958
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3229
24.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
23098
184.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27349
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18265
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32597
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4655
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3153
116.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6360
235.5 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1256
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3890
78.2 IPS |