vivo V2219
Geekbench ML Score
385
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2023 07:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2219 |
| Model ID | vivo V2219 |
| 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 | 11.08 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
190
20.3 IPS |
|
|
Image Classification (F16)
|
100% |
216
23.1 IPS |
|
|
Image Classification (I8)
|
81% |
175
18.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
553
3.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
551
3.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
913
5.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
337
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
341
1.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
281
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
233
8.16 IPS |
|
|
Object Detection (F16)
|
100% |
244
8.56 IPS |
|
|
Object Detection (I8)
|
52% |
277
9.71 IPS |
|
|
Face Detection (F32)
|
100% |
507
5.82 IPS |
|
|
Face Detection (F16)
|
100% |
506
5.81 IPS |
|
|
Face Detection (I8)
|
75% |
500
5.75 IPS |
|
|
Text Classification (F32)
|
100% |
347
137.3 IPS |
|
|
Text Classification (F16)
|
100% |
328
129.6 IPS |
|
|
Machine Translation (F32)
|
100% |
947
145.9 IPS |
|
|
Machine Translation (F16)
|
100% |
951
146.6 IPS |
