HP HP Laptop 15-da2xxx
Geekbench AI Score
938
Single Precision Score
455
Half Precision Score
1439
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 04:16 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% |
961
178.8 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.5 IPS |
|
|
Image Classification (Q)
|
96% |
1030
192.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
1201
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1377
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
2665
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
594
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
58% |
850
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (Q)
|
96% |
2162
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1636
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
612
4.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
2355
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3266
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2620
3.37 IPS |
|
|
Style Transfer (Q)
|
87% |
4047
5.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1240
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
676
901.7 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.0 IPS |
|
|
Text Classification (Q)
|
97% |
578
773.9 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
68% |
922
17.8 IPS |
