vivo V2405A
Geekbench ML Score
1067
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 03:14 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2405A |
| Model ID | vivo V2405A |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
773
144.6 IPS |
|
|
Image Classification (F16)
|
100% |
530
99.3 IPS |
|
|
Image Classification (I8)
|
97% |
469
87.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1127
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1349
22.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1345
22.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
951
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
1503
1.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
1207
1.46 IPS |
|
|
Object Detection (F32)
|
100% |
429
32.0 IPS |
|
|
Object Detection (F16)
|
100% |
494
36.9 IPS |
|
|
Object Detection (I8)
|
62% |
487
36.3 IPS |
|
|
Face Detection (F32)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (F16)
|
98% |
2325
27.6 IPS |
|
|
Face Detection (I8)
|
86% |
2153
25.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1280
9.92 IPS |
|
|
Depth Estimation (F16)
|
100% |
1594
12.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
1566
12.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3702
4.87 IPS |
|
|
Style Transfer (F16)
|
100% |
4922
6.47 IPS |
|
|
Style Transfer (I8)
|
98% |
4867
6.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
713
25.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
843
30.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
919
32.8 IPS |
|
|
Text Classification (F32)
|
100% |
493
709.2 IPS |
|
|
Text Classification (F16)
|
100% |
489
702.5 IPS |
|
|
Text Classification (I8)
|
92% |
679
975.5 IPS |
|
|
Machine Translation (F32)
|
100% |
731
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
791
14.6 IPS |
|
|
Machine Translation (I8)
|
64% |
671
12.3 IPS |
