vivo V2160
Geekbench AI Score
490
Single Precision Score
490
Half Precision Score
874
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 08:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833V/ZA |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | vivo V2160 |
| Model ID | vivo V2160 |
| Motherboard | k6833v1_64 |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/ZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (Q)
|
100% |
624
116.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
688
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1072
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1073
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1579
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
591
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (HP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (Q)
|
95% |
1376
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
901
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
898
6.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1408
12.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1784
2.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1784
2.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3103
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
817
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.6 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.5 IPS |
|
|
Text Classification (Q)
|
88% |
426
575.1 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (Q)
|
50% |
312
11.1 IPS |
