| Upload Date | February 09 2026 08:18 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 16 Plus PB16250 |
| Motherboard | Dell Inc. 09VN0X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6669
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
14231
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
17243
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9018
146.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23784
385.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29510
478.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22799
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
118395
138.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
228376
267.4 IPS |
|
|
Object Detection (SP)
|
100% |
5169
410.0 IPS |
|
|
Object Detection (HP)
|
100% |
15066
1.20 KIPS |
|
|
Object Detection (Q)
|
88% |
19092
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
13098
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
30008
356.6 IPS |
|
|
Face Detection (Q)
|
100% |
44984
534.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20969
161.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50410
388.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
59191
460.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59597
76.6 IPS |
|
|
Style Transfer (HP)
|
100% |
188633
242.5 IPS |
|
|
Style Transfer (Q)
|
98% |
252350
325.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8361
308.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31401
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37144
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3570
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5729
7.65 KIPS |
|
|
Text Classification (Q)
|
92% |
3069
4.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7225
124.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7073
121.8 IPS |