| User | nithinmohantk |
| Upload Date | February 05 2026 09:09 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3458
643.1 IPS |
|
|
Image Classification (HP)
|
100% |
2771
515.4 IPS |
|
|
Image Classification (Q)
|
100% |
8767
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4366
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8543
138.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4739
5.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
25099
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3299
261.7 IPS |
|
|
Object Detection (HP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (Q)
|
88% |
9461
758.4 IPS |
|
|
Face Detection (SP)
|
100% |
9965
118.4 IPS |
|
|
Face Detection (HP)
|
100% |
8410
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
23346
277.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8513
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6569
50.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
25599
199.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19455
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13641
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
72628
93.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3084
113.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13922
515.6 IPS |
|
|
Text Classification (SP)
|
100% |
3349
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5188
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4586
79.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4438
76.4 IPS |