HP HP Laptop 15-fd0xxx
Geekbench AI Score
1811
Single Precision Score
792
Half Precision Score
3695
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 01:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-fd0xxx |
| Motherboard | HP 8DD7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| 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% |
1434
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (Q)
|
99% |
3106
579.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
4087
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2917
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
8327
9.76 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (Q)
|
86% |
2864
230.2 IPS |
|
|
Face Detection (SP)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.70 IPS |
|
|
Face Detection (Q)
|
97% |
4601
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3656
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1049
8.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
6441
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6682
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
4786
6.15 IPS |
|
|
Style Transfer (Q)
|
98% |
9432
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2973
110.1 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.0 IPS |
|
|
Text Classification (Q)
|
97% |
1140
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (Q)
|
65% |
1656
33.3 IPS |
