HP HP Laptop 15-da2xxx
Geekbench AI Score
872
Single Precision Score
470
Half Precision Score
1352
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Ftalmunami-12 |
| Upload Date | October 23 2025 05:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Laptop 15-da2xxx |
| Motherboard | HP 86B3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (Q)
|
96% |
1186
221.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
940
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1316
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1079
1.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
2737
3.24 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
58% |
779
85.2 IPS |
|
|
Face Detection (SP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (Q)
|
96% |
2249
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1703
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
662
5.10 IPS |
|
|
Depth Estimation (Q)
|
78% |
2766
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3224
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2618
3.37 IPS |
|
|
Style Transfer (Q)
|
87% |
4031
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1273
47.2 IPS |
|
|
Text Classification (SP)
|
100% |
673
898.8 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.4 IPS |
|
|
Text Classification (Q)
|
97% |
295
395.0 IPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
68% |
916
17.7 IPS |
