HP HP Laptop 15-fd0xxx
Geekbench AI Score
1914
Single Precision Score
832
Half Precision Score
3797
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 30 2025 10:13 PM |
| Views | 19 |
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 8BB6 |
| 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% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (Q)
|
99% |
3158
589.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
548
8.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
4014
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3032
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1988
2.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
9090
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.9 IPS |
|
|
Object Detection (Q)
|
86% |
2878
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
5121
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3930
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1170
9.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
7724
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7295
9.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4775
6.14 IPS |
|
|
Style Transfer (Q)
|
98% |
9673
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2853
105.7 IPS |
|
|
Text Classification (SP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
448
598.4 IPS |
|
|
Text Classification (Q)
|
97% |
1082
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (Q)
|
65% |
1593
32.0 IPS |
