HP HP Pavilion x360 Convertible
Geekbench AI Score
704
Single Precision Score
343
Half Precision Score
1026
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | RTalmehmadi |
| Upload Date | October 21 2025 07:05 AM |
| Views | 8 |
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 Pavilion x360 Convertible |
| Motherboard | HP 8670 |
| Power Plan | HP |
| 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% |
405
75.3 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
96% |
732
136.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
1727
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
58% |
530
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
96% |
1540
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1287
9.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
458
3.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
1806
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2692
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1935
2.49 IPS |
|
|
Style Transfer (Q)
|
87% |
3404
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
984
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.8 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.9 IPS |
|
|
Text Classification (Q)
|
97% |
363
485.8 IPS |
|
|
Machine Translation (SP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
68% |
739
14.3 IPS |
