HP HP Envy Laptop 17-da0xxx
Geekbench AI Score
2762
Single Precision Score
7250
Half Precision Score
11315
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 09:54 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% |
1535
285.5 IPS |
|
|
Image Classification (HP)
|
100% |
5491
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
7612
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3053
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3618
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
29112
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
62357
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
4361
345.9 IPS |
|
|
Object Detection (Q)
|
89% |
7584
607.4 IPS |
|
|
Face Detection (SP)
|
100% |
4736
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
11231
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
24685
293.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4257
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14667
113.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
28655
222.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10622
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
43257
55.6 IPS |
|
|
Style Transfer (Q)
|
98% |
77775
100.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11105
410.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18266
676.5 IPS |
|
|
Text Classification (SP)
|
100% |
1684
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1142
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1116
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2792
48.1 IPS |
