HP HP Envy Laptop 17-da0xxx
Geekbench AI Score
2861
Single Precision Score
2754
Half Precision Score
6831
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 10:09 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
1464
272.2 IPS |
|
|
Image Classification (Q)
|
100% |
4974
925.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4504
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3645
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3358
3.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
12233
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (Q)
|
88% |
3815
305.8 IPS |
|
|
Face Detection (SP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
9543
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4367
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4276
32.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11640
90.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11907
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10873
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38150
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7456
276.1 IPS |
|
|
Text Classification (SP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1938
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
3483
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1924
33.1 IPS |
