HP HP Laptop 17-cn2xxx
Geekbench AI Score
1456
Single Precision Score
781
Half Precision Score
2947
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | absolutzombie |
| Upload Date | January 27 2026 01:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1215U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 17-cn2xxx |
| Motherboard | HP 899B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1215U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| 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% |
1167
217.0 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.9 IPS |
|
|
Image Classification (Q)
|
99% |
2724
508.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
2201
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2150
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1435
1.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
7577
8.88 IPS |
|
|
Object Detection (SP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.4 IPS |
|
|
Object Detection (Q)
|
86% |
2287
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
1805
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (Q)
|
97% |
4483
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2863
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1168
9.00 IPS |
|
|
Depth Estimation (Q)
|
78% |
6159
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4927
6.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3851
4.95 IPS |
|
|
Style Transfer (Q)
|
98% |
7453
9.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3139
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
594
793.0 IPS |
|
|
Text Classification (Q)
|
97% |
495
663.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
65% |
1492
30.0 IPS |
