HP HP Envy Laptop 17-da0xxx
Geekbench AI Score
2014
Single Precision Score
765
Half Precision Score
3376
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 09:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
99% |
2763
515.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
3973
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3878
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2853
3.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
13755
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (Q)
|
86% |
2828
227.3 IPS |
|
|
Face Detection (SP)
|
100% |
4642
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (Q)
|
97% |
3779
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4736
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
7506
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9096
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6701
8.61 IPS |
|
|
Style Transfer (Q)
|
98% |
11246
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2136
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
699
932.6 IPS |
|
|
Text Classification (HP)
|
100% |
328
438.4 IPS |
|
|
Text Classification (Q)
|
97% |
628
840.8 IPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
65% |
1055
21.2 IPS |
