vivo V2403A
Geekbench ML Score
1142
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 26 2024 12:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2403A |
| Model ID | vivo V2403A |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
732
137.0 IPS |
|
|
Image Classification (F16)
|
100% |
849
158.8 IPS |
|
|
Image Classification (I8)
|
99% |
648
121.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1326
22.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1097
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
973
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
2067
2.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
2087
2.53 IPS |
|
|
Object Detection (F32)
|
100% |
351
26.2 IPS |
|
|
Object Detection (F16)
|
100% |
559
41.7 IPS |
|
|
Object Detection (I8)
|
62% |
625
46.6 IPS |
|
|
Face Detection (F32)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (F16)
|
97% |
4549
54.1 IPS |
|
|
Face Detection (I8)
|
86% |
3251
38.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1603
12.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3210
24.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
3167
24.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5612
7.38 IPS |
|
|
Style Transfer (F16)
|
100% |
8652
11.4 IPS |
|
|
Style Transfer (I8)
|
98% |
8996
11.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
436
15.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1125
40.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1121
40.0 IPS |
|
|
Text Classification (F32)
|
100% |
196
281.8 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.2 IPS |
|
|
Text Classification (I8)
|
92% |
462
664.7 IPS |
|
|
Machine Translation (F32)
|
100% |
503
9.25 IPS |
|
|
Machine Translation (F16)
|
100% |
409
7.52 IPS |
|
|
Machine Translation (I8)
|
64% |
424
7.80 IPS |
