HP HP Laptop 15-fd0xxx
Geekbench AI Score
1899
Single Precision Score
776
Half Precision Score
3716
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ryansari1 |
| Upload Date | April 23 2026 12:40 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-fd0xxx |
| Motherboard | HP 8CAA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
99% |
2842
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
4008
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2761
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1841
2.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
8379
9.82 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (Q)
|
86% |
2753
221.3 IPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
4985
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3689
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1082
8.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
7066
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6792
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
4509
5.80 IPS |
|
|
Style Transfer (Q)
|
98% |
11694
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
887
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2673
99.0 IPS |
|
|
Text Classification (SP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
387
516.2 IPS |
|
|
Text Classification (Q)
|
97% |
982
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
65% |
1769
35.5 IPS |
