HP HP Laptop 15-fd2xxx
Geekbench AI Score
2634
Single Precision Score
8399
Half Precision Score
13222
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | bittenapple |
| Upload Date | March 23 2026 09:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1498
278.6 IPS |
|
|
Image Classification (HP)
|
100% |
6165
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
9118
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2860
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
30957
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
67586
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
100% |
5167
409.9 IPS |
|
|
Object Detection (Q)
|
88% |
8942
716.9 IPS |
|
|
Face Detection (SP)
|
100% |
3769
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
13551
161.0 IPS |
|
|
Face Detection (Q)
|
100% |
27447
326.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4244
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12957
99.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
24617
191.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9218
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38552
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
74195
95.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14819
547.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28277
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
1742
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1909
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3829
66.0 IPS |
