HP HP ENVY x360 2-in-1 Laptop 13-bf0xxx
Geekbench AI Score
1484
Single Precision Score
599
Half Precision Score
3020
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 08:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP ENVY x360 2-in-1 Laptop 13-bf0xxx |
| Motherboard | HP 8A28 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1250U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1123
208.8 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.3 IPS |
|
|
Image Classification (Q)
|
99% |
2298
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
3307
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2111
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1167
1.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
6662
7.81 IPS |
|
|
Object Detection (SP)
|
100% |
1080
85.7 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
86% |
2386
191.8 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
727
8.64 IPS |
|
|
Face Detection (Q)
|
97% |
3880
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2819
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
829
6.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
5623
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5290
6.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3088
3.97 IPS |
|
|
Style Transfer (Q)
|
98% |
8916
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2108
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
359
478.6 IPS |
|
|
Text Classification (Q)
|
97% |
1003
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
65% |
1273
25.6 IPS |
