HP HP Laptop 17-cn2xxx
Geekbench AI Score
1792
Single Precision Score
1878
Half Precision Score
1171
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 09:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
100% |
702
130.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
853
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4949
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
6631
7.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3190
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (HP)
|
98% |
797
63.4 IPS |
|
|
Object Detection (Q)
|
86% |
766
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
1249
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3600
27.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4046
31.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2551
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13981
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18212
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9151
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
955
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
658
877.9 IPS |
|
|
Text Classification (HP)
|
100% |
332
443.7 IPS |
|
|
Text Classification (Q)
|
97% |
349
467.0 IPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
70% |
343
6.44 IPS |
