vivo V2303
Geekbench ML Score
251
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 07:17 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
108
20.1 IPS |
|
|
Image Classification (F16)
|
100% |
178
33.3 IPS |
|
|
Image Classification (I8)
|
97% |
190
35.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
138
2.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
247
4.12 IPS |
|
|
Image Segmentation (I8)
|
98% |
262
4.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
210
0.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
281
0.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
278
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
89
6.63 IPS |
|
|
Object Detection (F16)
|
100% |
127
9.45 IPS |
|
|
Object Detection (I8)
|
62% |
137
10.3 IPS |
|
|
Face Detection (F32)
|
100% |
258
3.06 IPS |
|
|
Face Detection (F16)
|
97% |
466
5.54 IPS |
|
|
Face Detection (I8)
|
87% |
479
5.70 IPS |
|
|
Depth Estimation (F32)
|
100% |
252
1.95 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.34 IPS |
|
|
Depth Estimation (I8)
|
95% |
428
3.32 IPS |
|
|
Style Transfer (F32)
|
100% |
477
0.63 IPS |
|
|
Style Transfer (F16)
|
100% |
1017
1.34 IPS |
|
|
Style Transfer (I8)
|
98% |
1019
1.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
123
4.40 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
209
7.47 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
213
7.62 IPS |
|
|
Text Classification (F32)
|
100% |
151
217.1 IPS |
|
|
Text Classification (F16)
|
100% |
151
217.0 IPS |
|
|
Text Classification (I8)
|
92% |
291
417.6 IPS |
|
|
Machine Translation (F32)
|
100% |
278
5.11 IPS |
|
|
Machine Translation (F16)
|
100% |
278
5.11 IPS |
|
|
Machine Translation (I8)
|
64% |
341
6.28 IPS |
