vivo PA2473
Geekbench AI Score
1169
Single Precision Score
5213
Half Precision Score
5045
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | BlueSkyXN |
| Upload Date | August 16 2024 01:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo PA2473 |
| Model ID | vivo PA2473 |
| Motherboard | tb8796p1_64_sp |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 15.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1009
187.6 IPS |
|
|
Image Classification (HP)
|
100% |
4595
854.5 IPS |
|
|
Image Classification (Q)
|
97% |
8845
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4209
68.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1840
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8505
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
18473
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
75004
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
4729
375.1 IPS |
|
|
Object Detection (Q)
|
88% |
5834
467.5 IPS |
|
|
Face Detection (SP)
|
100% |
3460
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
12154
144.4 IPS |
|
|
Face Detection (Q)
|
97% |
11715
139.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
948
7.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
19082
147.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
39875
318.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2610
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
716
0.92 IPS |
|
|
Style Transfer (Q)
|
30% |
413
6.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2725
100.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11027
407.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8348
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
132
176.1 IPS |
|
|
Text Classification (HP)
|
97% |
2210
2.96 KIPS |
|
|
Text Classification (Q)
|
73% |
2134
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
375
6.45 IPS |
|
|
Machine Translation (HP)
|
100% |
2169
37.4 IPS |
|
|
Machine Translation (Q)
|
60% |
437
9.84 IPS |
