| User | AdamOp |
| Upload Date | August 13 2025 05:55 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7468
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
14451
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
17058
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9819
159.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26026
421.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30286
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23327
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
136860
159.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
257897
301.9 IPS |
|
|
Object Detection (SP)
|
100% |
6648
527.3 IPS |
|
|
Object Detection (HP)
|
100% |
16074
1.27 KIPS |
|
|
Object Detection (Q)
|
88% |
16385
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
14943
177.6 IPS |
|
|
Face Detection (HP)
|
100% |
34091
405.1 IPS |
|
|
Face Detection (Q)
|
100% |
45965
546.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24959
192.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59649
459.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
65155
506.7 IPS |
|
|
Style Transfer (SP)
|
100% |
52934
68.0 IPS |
|
|
Style Transfer (HP)
|
100% |
154232
198.3 IPS |
|
|
Style Transfer (Q)
|
98% |
166600
214.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9763
360.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28754
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29851
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4447
5.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2834
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6797
117.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6898
118.8 IPS |