vivo V2307
Geekbench ML Score
428
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 07 2024 07:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2307 |
| Model ID | vivo V2307 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
219
41.0 IPS |
|
|
Image Classification (F16)
|
100% |
199
37.1 IPS |
|
|
Image Classification (I8)
|
97% |
501
93.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
276
4.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
278
4.64 IPS |
|
|
Image Segmentation (I8)
|
98% |
416
6.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
388
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
379
0.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
1913
2.32 IPS |
|
|
Object Detection (F32)
|
100% |
210
15.6 IPS |
|
|
Object Detection (F16)
|
100% |
218
16.3 IPS |
|
|
Object Detection (I8)
|
61% |
557
41.6 IPS |
|
|
Face Detection (F32)
|
100% |
438
5.21 IPS |
|
|
Face Detection (F16)
|
100% |
437
5.20 IPS |
|
|
Face Detection (I8)
|
86% |
1087
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
423
3.28 IPS |
|
|
Depth Estimation (F16)
|
100% |
432
3.35 IPS |
|
|
Depth Estimation (I8)
|
95% |
1145
8.88 IPS |
|
|
Style Transfer (F32)
|
100% |
721
0.95 IPS |
|
|
Style Transfer (F16)
|
100% |
696
0.92 IPS |
|
|
Style Transfer (I8)
|
98% |
1733
2.28 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
262
9.34 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
261
9.31 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
835
29.8 IPS |
|
|
Text Classification (F32)
|
100% |
239
343.9 IPS |
|
|
Text Classification (F16)
|
100% |
243
348.7 IPS |
|
|
Text Classification (I8)
|
92% |
226
325.4 IPS |
|
|
Machine Translation (F32)
|
100% |
505
9.29 IPS |
|
|
Machine Translation (F16)
|
100% |
495
9.11 IPS |
|
|
Machine Translation (I8)
|
64% |
252
4.63 IPS |
