HP HP Pavilion x360 2-in-1 Laptop
Geekbench AI Score
1488
Single Precision Score
671
Half Precision Score
3065
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lamar_alhaj |
| Upload Date | October 24 2025 12:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion x360 2-in-1 Laptop |
| Motherboard | HP 8BF6 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1093
203.3 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
99% |
2268
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
3193
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2060
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1425
1.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
6618
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (Q)
|
86% |
2416
194.2 IPS |
|
|
Face Detection (SP)
|
100% |
2514
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (Q)
|
97% |
4316
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2748
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
933
7.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
6098
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6220
8.00 IPS |
|
|
Style Transfer (HP)
|
100% |
4033
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
8601
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
819
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2213
82.0 IPS |
|
|
Text Classification (SP)
|
100% |
721
962.2 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.6 IPS |
|
|
Text Classification (Q)
|
97% |
893
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
65% |
1417
28.5 IPS |
