vivo VPR2401A
Geekbench ML Score
264
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 03:37 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
112
20.9 IPS |
|
|
Image Classification (F16)
|
100% |
112
21.0 IPS |
|
|
Image Classification (I8)
|
97% |
312
58.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
148
2.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
148
2.48 IPS |
|
|
Image Segmentation (I8)
|
98% |
334
5.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
193
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
197
0.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
780
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
120
8.99 IPS |
|
|
Object Detection (F16)
|
100% |
120
8.93 IPS |
|
|
Object Detection (I8)
|
61% |
349
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
296
3.51 IPS |
|
|
Face Detection (F16)
|
100% |
296
3.51 IPS |
|
|
Face Detection (I8)
|
86% |
692
8.23 IPS |
|
|
Depth Estimation (F32)
|
100% |
256
1.99 IPS |
|
|
Depth Estimation (F16)
|
100% |
256
1.99 IPS |
|
|
Depth Estimation (I8)
|
95% |
746
5.78 IPS |
|
|
Style Transfer (F32)
|
100% |
446
0.59 IPS |
|
|
Style Transfer (F16)
|
100% |
440
0.58 IPS |
|
|
Style Transfer (I8)
|
98% |
1195
1.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
132
4.73 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
131
4.68 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
466
16.6 IPS |
|
|
Text Classification (F32)
|
100% |
153
220.5 IPS |
|
|
Text Classification (F16)
|
100% |
153
219.3 IPS |
|
|
Text Classification (I8)
|
92% |
289
415.4 IPS |
|
|
Machine Translation (F32)
|
100% |
278
5.12 IPS |
|
|
Machine Translation (F16)
|
100% |
280
5.15 IPS |
|
|
Machine Translation (I8)
|
64% |
363
6.69 IPS |
