| Upload Date | February 09 2026 08:10 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 266V |
| 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% |
2567
477.3 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
99% |
5465
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7523
122.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5170
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3450
4.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
17869
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
86% |
5298
425.8 IPS |
|
|
Face Detection (SP)
|
100% |
6627
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
8354
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6760
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2053
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13396
106.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12502
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8845
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20690
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4669
172.9 IPS |
|
|
Text Classification (SP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
664
886.7 IPS |
|
|
Text Classification (Q)
|
97% |
1261
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2495
50.1 IPS |