HP HP Pavilion x360 Convertible
Geekbench AI Score
567
Single Precision Score
258
Half Precision Score
759
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | RTalmehmadi |
| Upload Date | October 21 2025 07:34 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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.8 IPS |
|
|
Image Classification (Q)
|
96% |
567
105.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
815
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
849
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
750
0.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
1477
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
58% |
389
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (Q)
|
96% |
1058
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
896
6.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
319
2.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
1175
9.38 IPS |
|
|
Style Transfer (SP)
|
100% |
2250
2.89 IPS |
|
|
Style Transfer (HP)
|
100% |
1313
1.69 IPS |
|
|
Style Transfer (Q)
|
87% |
2560
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
572
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.0 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.1 IPS |
|
|
Text Classification (Q)
|
97% |
250
334.5 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (Q)
|
68% |
529
10.2 IPS |
