HP HP Pavilion x360 Convertible 14-dh1xxx
Geekbench AI Score
882
Single Precision Score
456
Half Precision Score
1142
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | EMmadabghi |
| Upload Date | April 07 2025 03:04 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion x360 Convertible 14-dh1xxx |
| Motherboard | HP 866F |
| Power Plan | HP Recommended |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
96% |
1039
194.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
640
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1221
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
2317
2.74 IPS |
|
|
Object Detection (SP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
58% |
686
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (Q)
|
96% |
2008
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1511
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
2425
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3134
4.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2296
2.95 IPS |
|
|
Style Transfer (Q)
|
87% |
4318
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
920
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
543
725.3 IPS |
|
|
Text Classification (HP)
|
100% |
324
432.0 IPS |
|
|
Text Classification (Q)
|
97% |
203
271.9 IPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
68% |
913
17.6 IPS |
