vivo V2453A
Geekbench ML Score
1286
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 10:54 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% |
817
152.9 IPS |
|
|
Image Classification (F16)
|
100% |
798
149.3 IPS |
|
|
Image Classification (I8)
|
97% |
1087
203.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1020
17.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1001
16.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
702
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1350
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
1318
1.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
6033
7.31 IPS |
|
|
Object Detection (F32)
|
100% |
754
56.3 IPS |
|
|
Object Detection (F16)
|
100% |
723
54.0 IPS |
|
|
Object Detection (I8)
|
61% |
1176
87.8 IPS |
|
|
Face Detection (F32)
|
100% |
1702
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (I8)
|
86% |
2136
25.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1481
11.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1438
11.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2283
17.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2352
3.09 IPS |
|
|
Style Transfer (F16)
|
100% |
2363
3.11 IPS |
|
|
Style Transfer (I8)
|
98% |
5332
7.01 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
811
29.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
894
31.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2172
77.6 IPS |
|
|
Text Classification (F32)
|
100% |
823
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
777
1.12 KIPS |
|
|
Text Classification (I8)
|
92% |
706
1.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1486
27.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1467
27.0 IPS |
|
|
Machine Translation (I8)
|
64% |
410
7.54 IPS |
