| User | miesupport |
| Upload Date | January 09 2026 05:53 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 SFF G1i Workstation Desktop PC |
| Motherboard | HP 8D3D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5489
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
879
163.4 IPS |
|
|
Image Classification (Q)
|
99% |
9940
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16308
265.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14609
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8710
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
45943
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
5425
430.3 IPS |
|
|
Object Detection (HP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (Q)
|
86% |
11834
951.1 IPS |
|
|
Face Detection (SP)
|
100% |
15669
186.2 IPS |
|
|
Face Detection (HP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
13195
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16442
126.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3641
28.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
24840
198.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31593
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20308
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32370
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5261
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7215
267.2 IPS |
|
|
Text Classification (SP)
|
100% |
1974
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1075
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1660
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4677
94.0 IPS |