vivo V2303
Geekbench ML Score
439
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 07:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2303 |
| Model ID | vivo V2303 |
| 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 @ 2.21 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% |
197
36.9 IPS |
|
|
Image Classification (F16)
|
100% |
185
34.6 IPS |
|
|
Image Classification (I8)
|
97% |
556
104.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
275
4.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
281
4.69 IPS |
|
|
Image Segmentation (I8)
|
98% |
461
7.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
386
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
389
0.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
1900
2.30 IPS |
|
|
Object Detection (F32)
|
100% |
217
16.2 IPS |
|
|
Object Detection (F16)
|
100% |
221
16.5 IPS |
|
|
Object Detection (I8)
|
61% |
553
41.3 IPS |
|
|
Face Detection (F32)
|
100% |
432
5.14 IPS |
|
|
Face Detection (F16)
|
100% |
433
5.15 IPS |
|
|
Face Detection (I8)
|
86% |
1165
13.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
431
3.34 IPS |
|
|
Depth Estimation (F16)
|
100% |
447
3.46 IPS |
|
|
Depth Estimation (I8)
|
95% |
994
7.71 IPS |
|
|
Style Transfer (F32)
|
100% |
729
0.96 IPS |
|
|
Style Transfer (F16)
|
100% |
735
0.97 IPS |
|
|
Style Transfer (I8)
|
98% |
1837
2.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
266
9.50 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
286
10.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
947
33.8 IPS |
|
|
Text Classification (F32)
|
100% |
257
368.8 IPS |
|
|
Text Classification (F16)
|
100% |
256
368.6 IPS |
|
|
Text Classification (I8)
|
92% |
245
352.0 IPS |
|
|
Machine Translation (F32)
|
100% |
512
9.42 IPS |
|
|
Machine Translation (F16)
|
100% |
505
9.30 IPS |
|
|
Machine Translation (I8)
|
64% |
280
5.15 IPS |
