HP HP Envy Laptop 17-da0xxx
Geekbench AI Score
2784
Single Precision Score
2774
Half Precision Score
6645
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 09:47 PM |
| Views | 2 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (Q)
|
100% |
4008
745.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4475
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3508
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3569
4.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
13300
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (Q)
|
88% |
4019
322.2 IPS |
|
|
Face Detection (SP)
|
100% |
4915
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
5029
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
9428
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4233
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4470
34.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11211
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10696
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10578
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35515
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7193
266.4 IPS |
|
|
Text Classification (SP)
|
100% |
2043
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1854
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3513
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1866
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1848
31.8 IPS |
