HP HP Elite Folio 13.5 inch 2-in-1 Notebook PC
Geekbench AI Score
409
Single Precision Score
173
Half Precision Score
187
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | August 17 2024 11:53 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 |
| 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% |
166
30.8 IPS |
|
|
Image Classification (HP)
|
100% |
68
12.7 IPS |
|
|
Image Classification (Q)
|
100% |
113
21.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
130
2.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
286
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (HP)
|
99% |
78
6.21 IPS |
|
|
Object Detection (Q)
|
89% |
98
7.82 IPS |
|
|
Face Detection (SP)
|
100% |
507
6.02 IPS |
|
|
Face Detection (HP)
|
100% |
131
1.55 IPS |
|
|
Face Detection (Q)
|
97% |
260
3.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
544
4.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
270
2.08 IPS |
|
|
Depth Estimation (Q)
|
73% |
282
2.30 IPS |
|
|
Style Transfer (SP)
|
100% |
2113
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1155
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
730
0.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.40 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
154
5.70 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.5 IPS |
|
|
Text Classification (HP)
|
100% |
130
172.9 IPS |
|
|
Text Classification (Q)
|
97% |
111
149.2 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
99% |
145
2.51 IPS |
|
|
Machine Translation (Q)
|
59% |
142
3.27 IPS |
