| User | barmanracing |
| Upload Date | January 27 2026 10:44 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1365U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Firefly 16 inch G10 Mobile Workstation PC |
| Motherboard | HP 8B41 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.1 IPS |
|
|
Image Classification (Q)
|
99% |
2498
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
3401
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
783
0.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
2304
2.70 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
86% |
566
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
991
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
427
5.08 IPS |
|
|
Face Detection (Q)
|
97% |
1399
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
972
7.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
417
3.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
1743
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2894
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1961
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
5239
6.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1393
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.3 IPS |
|
|
Text Classification (HP)
|
100% |
212
283.6 IPS |
|
|
Text Classification (Q)
|
97% |
432
579.1 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (Q)
|
65% |
548
11.0 IPS |