HP HP Laptop 17-cn2xxx
Geekbench AI Score
2461
Single Precision Score
3713
Half Precision Score
5904
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | absolutzombie |
| Upload Date | January 27 2026 06:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1546
287.5 IPS |
|
|
Image Classification (HP)
|
100% |
2479
460.9 IPS |
|
|
Image Classification (Q)
|
99% |
3699
690.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3328
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4312
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5451
6.36 IPS |
|
|
Pose Estimation (HP)
|
99% |
4090
4.77 IPS |
|
|
Pose Estimation (Q)
|
97% |
17417
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (Q)
|
90% |
4020
321.4 IPS |
|
|
Face Detection (SP)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4984
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
8987
106.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4973
38.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9163
70.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
12056
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13522
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20014
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36921
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2310
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3796
140.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7331
271.5 IPS |
|
|
Text Classification (SP)
|
71% |
998
1.44 KIPS |
|
|
Text Classification (HP)
|
71% |
1223
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
1098
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1420
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1433
24.8 IPS |
