vivo V2302A
Geekbench ML Score
1450
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 08 2023 07:52 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2302A |
| Model ID | vivo V2302A |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 15.04 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
784
84.0 IPS |
|
|
Image Classification (F16)
|
100% |
604
64.7 IPS |
|
|
Image Classification (I8)
|
81% |
533
57.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4299
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
7427
45.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
6580
40.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1637
6.62 IPS |
|
|
Pose Estimation (F16)
|
0% |
5233
21.2 IPS |
|
|
Pose Estimation (I8)
|
0% |
5062
20.5 IPS |
|
|
Object Detection (F32)
|
100% |
791
27.8 IPS |
|
|
Object Detection (F16)
|
99% |
689
24.2 IPS |
|
|
Object Detection (I8)
|
54% |
671
23.6 IPS |
|
|
Face Detection (F32)
|
100% |
2619
30.1 IPS |
|
|
Face Detection (F16)
|
97% |
2760
31.7 IPS |
|
|
Face Detection (I8)
|
75% |
2598
29.8 IPS |
|
|
Text Classification (F32)
|
100% |
235
92.9 IPS |
|
|
Text Classification (F16)
|
46% |
290
114.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1043
160.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1050
161.8 IPS |
