vivo VPR2401A
Geekbench ML Score
294
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 02:12 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% |
126
23.6 IPS |
|
|
Image Classification (F16)
|
100% |
126
23.6 IPS |
|
|
Image Classification (I8)
|
97% |
338
63.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
163
2.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
163
2.72 IPS |
|
|
Image Segmentation (I8)
|
98% |
359
5.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
222
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
220
0.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
840
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
131
9.81 IPS |
|
|
Object Detection (F16)
|
100% |
131
9.81 IPS |
|
|
Object Detection (I8)
|
61% |
375
28.0 IPS |
|
|
Face Detection (F32)
|
100% |
335
3.98 IPS |
|
|
Face Detection (F16)
|
100% |
335
3.98 IPS |
|
|
Face Detection (I8)
|
86% |
759
9.03 IPS |
|
|
Depth Estimation (F32)
|
100% |
290
2.25 IPS |
|
|
Depth Estimation (F16)
|
100% |
290
2.25 IPS |
|
|
Depth Estimation (I8)
|
95% |
827
6.41 IPS |
|
|
Style Transfer (F32)
|
100% |
508
0.67 IPS |
|
|
Style Transfer (F16)
|
100% |
507
0.67 IPS |
|
|
Style Transfer (I8)
|
98% |
1357
1.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
148
5.29 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
148
5.29 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
522
18.7 IPS |
|
|
Text Classification (F32)
|
100% |
170
243.9 IPS |
|
|
Text Classification (F16)
|
100% |
169
243.3 IPS |
|
|
Text Classification (I8)
|
92% |
312
448.2 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
316
5.81 IPS |
|
|
Machine Translation (I8)
|
64% |
397
7.30 IPS |
