HP HP Laptop 15-da2xxx
Geekbench AI Score
1485
Single Precision Score
712
Half Precision Score
2243
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 04:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-da2xxx |
| Motherboard | HP 86B4 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1185
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
2083
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1592
1.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
4060
4.80 IPS |
|
|
Object Detection (SP)
|
100% |
1046
82.9 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
58% |
1256
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
661
7.85 IPS |
|
|
Face Detection (Q)
|
96% |
3293
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2975
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
4105
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5665
7.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3701
4.76 IPS |
|
|
Style Transfer (Q)
|
87% |
5533
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1118
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2109
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
576
768.8 IPS |
|
|
Text Classification (Q)
|
97% |
887
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (Q)
|
68% |
1195
23.1 IPS |
