vivo V2218
Geekbench ML Score
359
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 11:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2218 |
| Model ID | vivo V2218 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
197
21.1 IPS |
|
|
Image Classification (F16)
|
100% |
229
24.5 IPS |
|
|
Image Classification (I8)
|
81% |
175
18.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
589
3.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
549
3.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
841
5.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
280
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
245
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
233
8.17 IPS |
|
|
Object Detection (F16)
|
100% |
224
7.85 IPS |
|
|
Object Detection (I8)
|
52% |
271
9.52 IPS |
|
|
Face Detection (F32)
|
100% |
546
6.27 IPS |
|
|
Face Detection (F16)
|
100% |
448
5.15 IPS |
|
|
Face Detection (I8)
|
75% |
505
5.80 IPS |
|
|
Text Classification (F32)
|
100% |
314
124.3 IPS |
|
|
Text Classification (F16)
|
100% |
298
117.8 IPS |
|
|
Machine Translation (F32)
|
100% |
723
111.5 IPS |
|
|
Machine Translation (F16)
|
100% |
732
112.8 IPS |
