HP HP Laptop 17-cn3xxx
Geekbench AI Score
772
Single Precision Score
404
Half Precision Score
1352
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 20 2025 12:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | HP HP Laptop 17-cn3xxx |
| Motherboard | HP 8DB4 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
99% |
997
186.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
878
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
2205
2.59 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
86% |
1003
80.6 IPS |
|
|
Face Detection (SP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
506
6.02 IPS |
|
|
Face Detection (Q)
|
97% |
2118
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1380
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
536
4.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
2430
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2148
2.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1703
2.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3955
5.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
932
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
510
680.4 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.8 IPS |
|
|
Text Classification (Q)
|
97% |
656
878.4 IPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
65% |
849
17.1 IPS |
