| User | IMaT_UoA |
| Upload Date | December 01 2025 02:55 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook X G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8E1D |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5363
997.4 IPS |
|
|
Image Classification (HP)
|
100% |
10074
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
14456
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4924
79.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14950
242.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18649
302.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21327
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
88445
103.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
174552
204.4 IPS |
|
|
Object Detection (SP)
|
100% |
5471
433.9 IPS |
|
|
Object Detection (HP)
|
100% |
11643
923.5 IPS |
|
|
Object Detection (Q)
|
88% |
15266
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
6624
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
16684
198.2 IPS |
|
|
Face Detection (Q)
|
100% |
29694
352.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17379
133.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42533
327.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
57998
450.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47630
61.2 IPS |
|
|
Style Transfer (HP)
|
100% |
133882
172.1 IPS |
|
|
Style Transfer (Q)
|
98% |
243431
313.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8663
319.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24691
911.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34534
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4280
5.71 KIPS |
|
|
Text Classification (Q)
|
92% |
3171
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4855
83.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4821
83.0 IPS |