HP HP Envy Laptop 17-da0xxx
Geekbench AI Score
2668
Single Precision Score
7118
Half Precision Score
11241
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 09:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy Laptop 17-da0xxx |
| Motherboard | HP 8C67 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1489
277.0 IPS |
|
|
Image Classification (HP)
|
100% |
5370
998.7 IPS |
|
|
Image Classification (Q)
|
100% |
7405
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3053
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3509
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
29110
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
62873
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
3968
314.8 IPS |
|
|
Object Detection (Q)
|
89% |
7729
619.0 IPS |
|
|
Face Detection (SP)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
11315
134.4 IPS |
|
|
Face Detection (Q)
|
100% |
23651
281.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3568
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14469
111.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
28472
221.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9637
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42923
55.2 IPS |
|
|
Style Transfer (Q)
|
98% |
76057
98.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10987
405.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18304
677.9 IPS |
|
|
Text Classification (SP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1121
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2778
47.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2813
48.5 IPS |
