vivo V2366GA
Geekbench ML Score
1050
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 29 2024 08:31 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2366GA |
| Model ID | vivo V2366GA |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
744
139.2 IPS |
|
|
Image Classification (F16)
|
100% |
793
148.5 IPS |
|
|
Image Classification (I8)
|
99% |
747
139.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
783
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1288
21.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1139
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
977
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
2080
2.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
2058
2.49 IPS |
|
|
Object Detection (F32)
|
100% |
334
25.0 IPS |
|
|
Object Detection (F16)
|
100% |
367
27.4 IPS |
|
|
Object Detection (I8)
|
62% |
269
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (F16)
|
97% |
3197
38.0 IPS |
|
|
Face Detection (I8)
|
86% |
3378
40.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1572
12.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3180
24.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3167
24.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4636
6.10 IPS |
|
|
Style Transfer (F16)
|
100% |
7053
9.28 IPS |
|
|
Style Transfer (I8)
|
98% |
7019
9.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
430
15.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1055
37.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
820
29.3 IPS |
|
|
Text Classification (F32)
|
100% |
279
400.9 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.6 IPS |
|
|
Text Classification (I8)
|
92% |
320
460.2 IPS |
|
|
Machine Translation (F32)
|
100% |
497
9.14 IPS |
|
|
Machine Translation (F16)
|
100% |
497
9.14 IPS |
|
|
Machine Translation (I8)
|
64% |
422
7.77 IPS |
