HP HP Laptop 15-fd0xxx
Geekbench AI Score
1296
Single Precision Score
706
Half Precision Score
2984
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gsaluqmani |
| Upload Date | October 17 2025 03:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1315U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-fd0xxx |
| Motherboard | HP 8BB6 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1315U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1090
202.7 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (Q)
|
99% |
2658
495.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
3081
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2004
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1395
1.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
6363
7.46 IPS |
|
|
Object Detection (SP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
86% |
2212
177.8 IPS |
|
|
Face Detection (SP)
|
100% |
1553
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
97% |
3710
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2198
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
4866
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4209
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3550
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
6648
8.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
849
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
761
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2409
89.2 IPS |
|
|
Text Classification (SP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
476
635.2 IPS |
|
|
Text Classification (Q)
|
97% |
1175
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1431
28.8 IPS |
