HP HP Laptop 17-cn2xxx
Geekbench AI Score
1538
Single Precision Score
1536
Half Precision Score
3762
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | absolutzombie |
| Upload Date | January 27 2026 06:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
892
165.8 IPS |
|
|
Image Classification (HP)
|
100% |
891
165.7 IPS |
|
|
Image Classification (Q)
|
100% |
2367
440.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2060
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1936
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
6392
7.49 IPS |
|
|
Object Detection (SP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (HP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (Q)
|
88% |
2386
191.3 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (Q)
|
100% |
5201
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2571
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2534
19.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
6099
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5916
7.60 IPS |
|
|
Style Transfer (HP)
|
100% |
5826
7.49 IPS |
|
|
Style Transfer (Q)
|
98% |
17515
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
979
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
1092
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
2392
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1553
26.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1580
27.2 IPS |
