HP HP Laptop 15-fd0xxx
Geekbench AI Score
1783
Single Precision Score
736
Half Precision Score
3431
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | shsAlotibi |
| Upload Date | October 23 2025 08:56 AM |
| Views | 3 |
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% |
1327
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
99% |
2819
525.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
3677
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2832
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1805
2.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
7395
8.67 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
100% |
361
28.7 IPS |
|
|
Object Detection (Q)
|
86% |
2773
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4583
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3693
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
947
7.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
7082
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6182
7.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3952
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
9314
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1247
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2334
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
412
550.1 IPS |
|
|
Text Classification (Q)
|
97% |
993
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.40 IPS |
|
|
Machine Translation (Q)
|
65% |
1522
30.6 IPS |
