| User | NabHirwani |
| Upload Date | March 24 2026 03:21 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3280
609.9 IPS |
|
|
Image Classification (HP)
|
100% |
4741
881.7 IPS |
|
|
Image Classification (Q)
|
100% |
6883
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6669
108.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10068
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11851
13.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
11097
13.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
37862
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
2928
232.2 IPS |
|
|
Object Detection (HP)
|
100% |
4578
363.1 IPS |
|
|
Object Detection (Q)
|
88% |
7623
610.9 IPS |
|
|
Face Detection (SP)
|
100% |
5317
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
11241
133.6 IPS |
|
|
Face Detection (Q)
|
100% |
19944
237.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10694
82.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
18796
145.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
24172
187.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29001
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37342
48.0 IPS |
|
|
Style Transfer (Q)
|
98% |
91051
117.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5021
185.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9053
334.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14713
544.9 IPS |
|
|
Text Classification (SP)
|
71% |
1423
2.06 KIPS |
|
|
Text Classification (HP)
|
71% |
2505
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
2290
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2029
35.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3083
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3064
52.9 IPS |