HP HP Laptop 15-fd0xxx
Geekbench AI Score
1110
Single Precision Score
613
Half Precision Score
3023
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aseel_alzahrani |
| Upload Date | April 11 2025 04:01 PM |
| Views | 7 |
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% |
624
116.1 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
99% |
2515
469.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1790
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1349
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1442
1.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
5144
6.03 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.2 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.7 IPS |
|
|
Object Detection (Q)
|
86% |
2713
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
799
9.50 IPS |
|
|
Face Detection (Q)
|
97% |
4217
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
822
6.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
7251
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3292
4.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2811
3.61 IPS |
|
|
Style Transfer (Q)
|
98% |
9130
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
665
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2211
81.9 IPS |
|
|
Text Classification (SP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
359
479.7 IPS |
|
|
Text Classification (Q)
|
97% |
966
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
65% |
1706
34.3 IPS |
