HP HP Envy Laptop 17-da0xxx
Geekbench AI Score
7885
Single Precision Score
12885
Half Precision Score
19889
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 09:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5246
975.6 IPS |
|
|
Image Classification (HP)
|
100% |
8633
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
10391
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4419
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11282
182.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16994
275.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23930
27.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22088
25.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
76142
89.1 IPS |
|
|
Object Detection (SP)
|
100% |
5270
418.0 IPS |
|
|
Object Detection (HP)
|
100% |
9027
716.0 IPS |
|
|
Object Detection (Q)
|
88% |
13587
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
8412
100.0 IPS |
|
|
Face Detection (HP)
|
100% |
17767
211.1 IPS |
|
|
Face Detection (Q)
|
100% |
30215
359.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18918
145.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
33032
255.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
40177
312.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53211
68.4 IPS |
|
|
Style Transfer (HP)
|
100% |
69103
88.8 IPS |
|
|
Style Transfer (Q)
|
98% |
177104
228.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8872
327.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15399
568.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23318
863.6 IPS |
|
|
Text Classification (SP)
|
71% |
1707
2.47 KIPS |
|
|
Text Classification (HP)
|
71% |
2569
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2594
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4050
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4078
70.5 IPS |
