HP HP Laptop 15-fd0xxx
Geekbench AI Score
1282
Single Precision Score
531
Half Precision Score
2173
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 02:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Laptop 15-fd0xxx |
| Motherboard | HP 8CAA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
99% |
1524
284.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
715
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1827
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1180
1.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
5607
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
963
76.4 IPS |
|
|
Object Detection (HP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (Q)
|
86% |
1891
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2031
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
97% |
4192
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3466
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
819
6.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
5931
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5338
6.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3692
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6625
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1389
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
606
809.2 IPS |
|
|
Text Classification (HP)
|
100% |
255
340.9 IPS |
|
|
Text Classification (Q)
|
97% |
761
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (Q)
|
65% |
1167
23.4 IPS |
