HP HP Elite Folio 13.5 inch 2-in-1 Notebook PC
Geekbench AI Score
348
Single Precision Score
171
Half Precision Score
188
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | August 17 2024 08:23 AM |
| Views | 7 |
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% |
135
25.1 IPS |
|
|
Image Classification (HP)
|
100% |
67
12.4 IPS |
|
|
Image Classification (Q)
|
100% |
112
20.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
99
1.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
125
2.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
582
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
283
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
99% |
76
6.03 IPS |
|
|
Object Detection (Q)
|
89% |
98
7.86 IPS |
|
|
Face Detection (SP)
|
100% |
436
5.19 IPS |
|
|
Face Detection (HP)
|
100% |
130
1.55 IPS |
|
|
Face Detection (Q)
|
97% |
262
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
471
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
276
2.13 IPS |
|
|
Depth Estimation (Q)
|
73% |
286
2.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1710
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
1135
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
725
0.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.43 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
154
5.70 IPS |
|
|
Text Classification (SP)
|
100% |
327
435.9 IPS |
|
|
Text Classification (HP)
|
100% |
136
181.9 IPS |
|
|
Text Classification (Q)
|
97% |
116
155.2 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
99% |
146
2.53 IPS |
|
|
Machine Translation (Q)
|
59% |
147
3.39 IPS |
