HP HP Laptop 17-cn2xxx
Geekbench AI Score
1666
Single Precision Score
1838
Half Precision Score
1100
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | absolutzombie |
| Upload Date | January 27 2026 06:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
742
138.0 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (Q)
|
100% |
658
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5072
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
7311
8.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
3366
3.94 IPS |
|
|
Object Detection (SP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (HP)
|
98% |
801
63.7 IPS |
|
|
Object Detection (Q)
|
86% |
743
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
1283
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1957
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
976
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3341
25.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4012
31.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
2415
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12980
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18235
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8146
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2826
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
918
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
663
884.5 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.3 IPS |
|
|
Text Classification (Q)
|
97% |
342
457.8 IPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
342
6.42 IPS |
