HP HP Laptop 15-fd2xxx
Geekbench AI Score
2520
Single Precision Score
1131
Half Precision Score
5488
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | bittenapple |
| Upload Date | March 23 2026 09:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Laptop 15-fd2xxx |
| Motherboard | HP 8E43 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
4653
867.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6089
99.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3799
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2469
2.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
14754
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
86% |
4727
379.9 IPS |
|
|
Face Detection (SP)
|
100% |
4111
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
6928
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5305
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1675
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11741
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9548
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6379
8.20 IPS |
|
|
Style Transfer (Q)
|
98% |
14008
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3614
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.7 IPS |
|
|
Text Classification (Q)
|
97% |
1324
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2301
46.2 IPS |
