HP HP Laptop 15-fd2xxx
Geekbench AI Score
2663
Single Precision Score
1156
Half Precision Score
5688
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | February 28 2026 06:02 PM |
| Views | 4 |
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 | High performance |
| 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% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
99% |
4727
881.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5871
95.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3790
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2275
2.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
14508
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
86% |
4292
345.0 IPS |
|
|
Face Detection (SP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
7610
90.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5237
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1570
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11621
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9499
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5899
7.58 IPS |
|
|
Style Transfer (Q)
|
98% |
16339
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1910
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4103
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
692
924.0 IPS |
|
|
Text Classification (Q)
|
97% |
1425
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2432
48.9 IPS |
