vivo V2453A
Geekbench ML Score
1381
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 04:33 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2453A |
| Model ID | vivo V2453A |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 14.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
773
144.6 IPS |
|
|
Image Classification (F16)
|
100% |
927
173.5 IPS |
|
|
Image Classification (I8)
|
97% |
1674
313.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1100
18.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1025
17.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
793
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1342
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
1340
1.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
6571
7.96 IPS |
|
|
Object Detection (F32)
|
100% |
745
55.6 IPS |
|
|
Object Detection (F16)
|
100% |
714
53.3 IPS |
|
|
Object Detection (I8)
|
61% |
1399
104.4 IPS |
|
|
Face Detection (F32)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (F16)
|
100% |
1974
23.5 IPS |
|
|
Face Detection (I8)
|
86% |
3191
37.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1606
12.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1564
12.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3178
24.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2211
2.91 IPS |
|
|
Style Transfer (F16)
|
100% |
2176
2.86 IPS |
|
|
Style Transfer (I8)
|
98% |
3982
5.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
831
29.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
853
30.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2024
72.3 IPS |
|
|
Text Classification (F32)
|
100% |
859
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
842
1.21 KIPS |
|
|
Text Classification (I8)
|
92% |
769
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1639
30.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1617
29.8 IPS |
|
|
Machine Translation (I8)
|
64% |
421
7.75 IPS |
