HP HP Elite Folio 13.5 inch 2-in-1 Notebook PC
Geekbench AI Score
411
Single Precision Score
419
Half Precision Score
1130
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | August 18 2024 09:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
152
28.3 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
99% |
625
116.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
639
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
816
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
817
0.95 IPS |
|
|
Pose Estimation (Q)
|
95% |
3443
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
99% |
188
15.0 IPS |
|
|
Object Detection (Q)
|
88% |
756
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (HP)
|
100% |
497
5.91 IPS |
|
|
Face Detection (Q)
|
97% |
1371
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
565
4.35 IPS |
|
|
Depth Estimation (HP)
|
98% |
673
5.20 IPS |
|
|
Depth Estimation (Q)
|
76% |
2100
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2133
2.74 IPS |
|
|
Style Transfer (HP)
|
100% |
3160
4.06 IPS |
|
|
Style Transfer (Q)
|
98% |
6770
8.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
240
8.87 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
897
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.1 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.5 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.8 IPS |
|
|
Machine Translation (SP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (HP)
|
99% |
382
6.60 IPS |
|
|
Machine Translation (Q)
|
60% |
460
10.3 IPS |
