HP HP Laptop 15-dw3xxx
Geekbench AI Score
1452
Single Precision Score
719
Half Precision Score
2657
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | fisalxy |
| Upload Date | April 11 2025 04:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Laptop 15-dw3xxx |
| Motherboard | HP 881E |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1191
221.6 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
99% |
2110
393.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1177
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1334
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1282
1.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
5768
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
86% |
2702
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
832
9.89 IPS |
|
|
Face Detection (Q)
|
97% |
4917
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2899
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1021
7.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
6769
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4815
6.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3679
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
9459
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
944
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2258
83.6 IPS |
|
|
Text Classification (SP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
543
724.8 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
65% |
1590
32.0 IPS |
