HP HP Pavilion x360 Convertible
Geekbench AI Score
554
Single Precision Score
326
Half Precision Score
703
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | haalmalki |
| Upload Date | December 16 2025 05:12 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Pavilion x360 Convertible |
| Motherboard | HP 81A9 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.1 IPS |
|
|
Image Classification (Q)
|
96% |
588
109.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
470
7.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
562
0.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
1209
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
58% |
375
41.0 IPS |
|
|
Face Detection (SP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.63 IPS |
|
|
Face Detection (Q)
|
96% |
1219
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
955
7.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
487
3.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
1325
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1805
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1260
1.62 IPS |
|
|
Style Transfer (Q)
|
87% |
1980
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
254
9.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
659
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
392
523.6 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.7 IPS |
|
|
Text Classification (Q)
|
97% |
190
254.6 IPS |
|
|
Machine Translation (SP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
68% |
592
11.4 IPS |
