vivo PA2473
Geekbench ML Score
3351
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 20 2024 12:13 PM |
| Views | 3 |
System Information
| 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 | 15.20 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
970
181.6 IPS |
|
|
Image Classification (F16)
|
100% |
4507
843.3 IPS |
|
|
Image Classification (I8)
|
97% |
8264
1.55 KIPS |
|
|
Image Segmentation (F32)
|
100% |
649
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4061
67.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1790
29.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8249
9.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
17793
21.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
66820
80.9 IPS |
|
|
Object Detection (F32)
|
100% |
692
51.7 IPS |
|
|
Object Detection (F16)
|
100% |
2913
217.4 IPS |
|
|
Object Detection (I8)
|
64% |
3288
245.5 IPS |
|
|
Face Detection (F32)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (F16)
|
97% |
12214
145.2 IPS |
|
|
Face Detection (I8)
|
86% |
11481
136.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
930
7.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
12624
97.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
21979
170.4 IPS |
|
|
Style Transfer (F32)
|
100% |
2553
3.36 IPS |
|
|
Style Transfer (F16)
|
100% |
2391
3.14 IPS |
|
|
Style Transfer (I8)
|
31% |
4693
6.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2122
75.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11275
402.7 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
33509
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
124
177.9 IPS |
|
|
Text Classification (F16)
|
100% |
1712
2.46 KIPS |
|
|
Text Classification (I8)
|
76% |
1808
2.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
391
7.20 IPS |
|
|
Machine Translation (F16)
|
100% |
2196
40.4 IPS |
|
|
Machine Translation (I8)
|
76% |
553
10.2 IPS |
