vivo V2231
Geekbench ML Score
370
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 06:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2231 |
| Model ID | vivo V2231 |
| Motherboard | k6886v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
179
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
203
38.0 IPS |
|
|
Image Classification (I8)
|
97% |
255
47.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
263
4.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
254
4.23 IPS |
|
|
Image Segmentation (I8)
|
98% |
429
7.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
397
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
379
0.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
1585
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
186
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
182
13.6 IPS |
|
|
Object Detection (I8)
|
61% |
356
26.6 IPS |
|
|
Face Detection (F32)
|
100% |
413
4.91 IPS |
|
|
Face Detection (F16)
|
100% |
400
4.75 IPS |
|
|
Face Detection (I8)
|
86% |
749
8.90 IPS |
|
|
Depth Estimation (F32)
|
100% |
438
3.40 IPS |
|
|
Depth Estimation (F16)
|
100% |
391
3.03 IPS |
|
|
Depth Estimation (I8)
|
95% |
863
6.69 IPS |
|
|
Style Transfer (F32)
|
100% |
810
1.07 IPS |
|
|
Style Transfer (F16)
|
100% |
775
1.02 IPS |
|
|
Style Transfer (I8)
|
98% |
2249
2.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
251
8.98 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
231
8.26 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
696
24.8 IPS |
|
|
Text Classification (F32)
|
100% |
207
297.6 IPS |
|
|
Text Classification (F16)
|
100% |
211
303.6 IPS |
|
|
Text Classification (I8)
|
92% |
194
279.3 IPS |
|
|
Machine Translation (F32)
|
100% |
266
4.89 IPS |
|
|
Machine Translation (F16)
|
100% |
260
4.79 IPS |
|
|
Machine Translation (I8)
|
64% |
247
4.55 IPS |
