vivo VPR2401A
Geekbench ML Score
863
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 02:06 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo VPR2401A |
| Model ID | vivo VPR2401A |
| Motherboard | anorak |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3403 revision 2 |
| Base Frequency | 2.36 GHz |
| Cluster 1 | 6 Cores @ 2.36 GHz |
| Memory Information | |
|---|---|
| Size | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
481
90.0 IPS |
|
|
Image Classification (F16)
|
100% |
499
93.4 IPS |
|
|
Image Classification (I8)
|
97% |
862
161.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
654
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
653
10.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
852
14.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
742
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
747
0.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
3436
4.16 IPS |
|
|
Object Detection (F32)
|
100% |
494
36.9 IPS |
|
|
Object Detection (F16)
|
100% |
453
33.8 IPS |
|
|
Object Detection (I8)
|
61% |
880
65.7 IPS |
|
|
Face Detection (F32)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
983
11.7 IPS |
|
|
Face Detection (I8)
|
86% |
1930
22.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
880
6.82 IPS |
|
|
Depth Estimation (F16)
|
100% |
900
6.98 IPS |
|
|
Depth Estimation (I8)
|
95% |
2002
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1500
1.97 IPS |
|
|
Style Transfer (F16)
|
100% |
1504
1.98 IPS |
|
|
Style Transfer (I8)
|
98% |
3498
4.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
568
20.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
574
20.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1620
57.8 IPS |
|
|
Text Classification (F32)
|
100% |
457
657.1 IPS |
|
|
Text Classification (F16)
|
100% |
462
663.5 IPS |
|
|
Text Classification (I8)
|
92% |
402
578.4 IPS |
|
|
Machine Translation (F32)
|
100% |
900
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
897
16.5 IPS |
|
|
Machine Translation (I8)
|
64% |
504
9.28 IPS |
