| User | nithinmohantk |
| Upload Date | February 13 2026 04:12 PM |
| Views | 13 |
| 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% |
4036
750.6 IPS |
|
|
Image Classification (HP)
|
100% |
3095
575.6 IPS |
|
|
Image Classification (Q)
|
100% |
10136
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5062
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11698
189.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7262
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5106
5.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
26735
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
3510
278.4 IPS |
|
|
Object Detection (HP)
|
100% |
2960
234.8 IPS |
|
|
Object Detection (Q)
|
88% |
9491
760.8 IPS |
|
|
Face Detection (SP)
|
100% |
7615
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
8338
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
25877
307.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5565
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6323
48.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
28029
217.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20929
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13267
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
74440
96.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4291
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3320
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14660
542.9 IPS |
|
|
Text Classification (SP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (Q)
|
92% |
5759
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3671
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4909
84.6 IPS |