vivo PA2473
Geekbench AI Score
1158
Single Precision Score
5045
Half Precision Score
4761
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:59 PM |
| Views | 2 |
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% |
1001
186.2 IPS |
|
|
Image Classification (HP)
|
100% |
4235
787.6 IPS |
|
|
Image Classification (Q)
|
99% |
8249
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4224
68.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1836
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9004
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18445
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
74677
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
699
55.4 IPS |
|
|
Object Detection (HP)
|
100% |
4567
362.3 IPS |
|
|
Object Detection (Q)
|
86% |
5569
448.0 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
11902
141.4 IPS |
|
|
Face Detection (Q)
|
97% |
11509
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
19372
149.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
32690
310.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2617
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
695
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
411
6.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2912
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10669
394.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7742
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
121
162.0 IPS |
|
|
Text Classification (HP)
|
97% |
1937
2.59 KIPS |
|
|
Text Classification (Q)
|
73% |
1836
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (Q)
|
60% |
433
9.75 IPS |
