HP HP Envy Laptop 17-da0xxx
Geekbench AI Score
2797
Single Precision Score
2786
Half Precision Score
6660
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 10:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
1544
287.1 IPS |
|
|
Image Classification (Q)
|
100% |
4812
894.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4460
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4709
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3641
4.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
13046
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (Q)
|
88% |
4082
327.2 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
9006
107.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3941
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4100
31.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10432
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10292
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10421
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36294
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7116
263.5 IPS |
|
|
Text Classification (SP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
3363
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1842
31.7 IPS |
