vivo V2347
Geekbench ML Score
671
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 15 2024 06:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2347 |
| Model ID | vivo V2347 |
| 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 | 11.07 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
442
82.7 IPS |
|
|
Image Classification (F16)
|
100% |
449
84.0 IPS |
|
|
Image Classification (I8)
|
97% |
426
79.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
502
8.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
462
7.72 IPS |
|
|
Image Segmentation (I8)
|
98% |
603
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
843
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
838
1.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
4005
4.85 IPS |
|
|
Object Detection (F32)
|
100% |
277
20.7 IPS |
|
|
Object Detection (F16)
|
100% |
299
22.3 IPS |
|
|
Object Detection (I8)
|
61% |
482
36.0 IPS |
|
|
Face Detection (F32)
|
100% |
705
8.38 IPS |
|
|
Face Detection (F16)
|
100% |
669
7.95 IPS |
|
|
Face Detection (I8)
|
86% |
1035
12.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
795
6.17 IPS |
|
|
Depth Estimation (F16)
|
100% |
702
5.44 IPS |
|
|
Depth Estimation (I8)
|
95% |
1135
8.80 IPS |
|
|
Style Transfer (F32)
|
100% |
1436
1.89 IPS |
|
|
Style Transfer (F16)
|
100% |
1416
1.86 IPS |
|
|
Style Transfer (I8)
|
98% |
2783
3.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
462
16.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
601
21.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1411
50.4 IPS |
|
|
Text Classification (F32)
|
100% |
521
748.6 IPS |
|
|
Text Classification (F16)
|
100% |
512
735.2 IPS |
|
|
Text Classification (I8)
|
92% |
352
505.5 IPS |
|
|
Machine Translation (F32)
|
100% |
498
9.17 IPS |
|
|
Machine Translation (F16)
|
100% |
517
9.51 IPS |
|
|
Machine Translation (I8)
|
64% |
294
5.40 IPS |
