HP HP Elite Folio 13.5 inch 2-in-1 Notebook PC
Geekbench AI Score
428
Single Precision Score
176
Half Precision Score
190
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | August 17 2024 11:32 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon (TM) 8cx Gen 2 @ 3.15 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Elite Folio 13.5 inch 2-in-1 Notebook PC |
| Motherboard | HP 87CD |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Snapdragon (TM) 8cx Gen 2 @ 3.15 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 805 Revision D0E |
| Base Frequency | 3.15 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (HP)
|
100% |
67
12.5 IPS |
|
|
Image Classification (Q)
|
100% |
115
21.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
131
2.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
832
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
286
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
99% |
80
6.33 IPS |
|
|
Object Detection (Q)
|
89% |
99
7.96 IPS |
|
|
Face Detection (SP)
|
100% |
513
6.09 IPS |
|
|
Face Detection (HP)
|
100% |
132
1.56 IPS |
|
|
Face Detection (Q)
|
97% |
262
3.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
574
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
278
2.15 IPS |
|
|
Depth Estimation (Q)
|
73% |
283
2.32 IPS |
|
|
Style Transfer (SP)
|
100% |
2099
2.70 IPS |
|
|
Style Transfer (HP)
|
100% |
1149
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
734
0.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.49 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
155
5.74 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.7 IPS |
|
|
Text Classification (HP)
|
100% |
136
181.9 IPS |
|
|
Text Classification (Q)
|
97% |
115
154.5 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (HP)
|
99% |
157
2.70 IPS |
|
|
Machine Translation (Q)
|
59% |
151
3.48 IPS |
