HP HP Laptop 15-da2xxx
Geekbench AI Score
1417
Single Precision Score
659
Half Precision Score
1759
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | maajabnoor |
| Upload Date | October 26 2025 09:07 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP Laptop 15-da2xxx |
| Motherboard | HP 86B4 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1021
189.9 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
1256
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1920
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1166
1.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
3005
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
897
71.1 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
58% |
1031
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (Q)
|
96% |
3037
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2446
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
914
7.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
3637
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4353
5.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3207
4.12 IPS |
|
|
Style Transfer (Q)
|
87% |
6336
8.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
768
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1625
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
1038
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
515
687.1 IPS |
|
|
Text Classification (Q)
|
97% |
313
419.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.78 IPS |
|
|
Machine Translation (Q)
|
68% |
1298
25.1 IPS |
