HP HP Laptop 15-fd0xxx
Geekbench AI Score
2097
Single Precision Score
892
Half Precision Score
4208
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | RKGhamdi |
| Upload Date | April 20 2026 05:27 PM |
| Views | 9 |
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% |
1690
314.2 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
99% |
3260
608.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1021
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4466
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
8995
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1449
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
86% |
3229
259.5 IPS |
|
|
Face Detection (SP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
5711
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4005
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1253
9.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
8233
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7400
9.51 IPS |
|
|
Style Transfer (HP)
|
100% |
4926
6.33 IPS |
|
|
Style Transfer (Q)
|
98% |
12800
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1415
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2953
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
513
685.0 IPS |
|
|
Text Classification (Q)
|
97% |
1182
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
65% |
1960
39.4 IPS |
