vivo V2241A
Geekbench ML Score
2007
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:38 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2241A |
| Model ID | vivo V2241A |
| 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 | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
899
96.3 IPS |
|
|
Image Classification (F16)
|
100% |
4374
468.6 IPS |
|
|
Image Classification (I8)
|
80% |
11227
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1067
6.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
1909
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
26620
164.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
849
3.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
2360
9.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
8841
35.8 IPS |
|
|
Object Detection (F32)
|
100% |
864
30.3 IPS |
|
|
Object Detection (F16)
|
100% |
1677
58.8 IPS |
|
|
Object Detection (I8)
|
53% |
2075
72.8 IPS |
|
|
Face Detection (F32)
|
25% |
440
5.05 IPS |
|
|
Face Detection (F16)
|
97% |
3229
37.1 IPS |
|
|
Face Detection (I8)
|
75% |
19659
225.9 IPS |
|
|
Text Classification (F32)
|
52% |
134
53.1 IPS |
|
|
Text Classification (F16)
|
100% |
1324
523.7 IPS |
|
|
Machine Translation (F32)
|
100% |
947
145.9 IPS |
|
|
Machine Translation (F16)
|
100% |
938
144.6 IPS |
