| User | NabHirwani |
| Upload Date | March 25 2026 07:42 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G1i Workstation Desktop PC |
| Motherboard | HP 8D3C |
| Power Plan | HP High Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5008
931.2 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (Q)
|
99% |
9101
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15110
245.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14151
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8060
9.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
45506
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
4731
375.3 IPS |
|
|
Object Detection (HP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (Q)
|
86% |
10678
858.1 IPS |
|
|
Face Detection (SP)
|
100% |
14782
175.6 IPS |
|
|
Face Detection (HP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
13420
160.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15391
118.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3007
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
23947
191.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30635
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20196
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32302
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4210
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3095
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5442
201.5 IPS |
|
|
Text Classification (SP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1465
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2997
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4110
82.6 IPS |