HP HP Pavilion x360 Convertible 14-ba0xx
Geekbench AI Score
571
Single Precision Score
341
Half Precision Score
733
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 10:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | HP HP Pavilion x360 Convertible 14-ba0xx |
| Motherboard | HP 8310 |
| Power Plan | Ultimate Performance |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
378
70.2 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.5 IPS |
|
|
Image Classification (Q)
|
96% |
493
92.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
376
6.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
1267
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
58% |
410
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
997
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
419
4.98 IPS |
|
|
Face Detection (Q)
|
96% |
1270
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
483
3.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
1306
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1861
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1420
1.83 IPS |
|
|
Style Transfer (Q)
|
87% |
2805
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
394
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
691
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
402
536.1 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.1 IPS |
|
|
Text Classification (Q)
|
97% |
207
277.9 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
68% |
705
13.6 IPS |
