vivo V2408A
Geekbench ML Score
1822
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 05:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2408A |
| Model ID | vivo V2408A |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
987
184.7 IPS |
|
|
Image Classification (F16)
|
100% |
978
183.1 IPS |
|
|
Image Classification (I8)
|
97% |
1458
272.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1553
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1402
23.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1452
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2114
2.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
2130
2.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
8286
10.0 IPS |
|
|
Object Detection (F32)
|
100% |
1022
76.3 IPS |
|
|
Object Detection (F16)
|
100% |
1039
77.6 IPS |
|
|
Object Detection (I8)
|
61% |
2043
152.5 IPS |
|
|
Face Detection (F32)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (F16)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (I8)
|
86% |
3668
43.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2116
16.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2222
17.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
4145
32.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3615
4.76 IPS |
|
|
Style Transfer (F16)
|
100% |
3583
4.71 IPS |
|
|
Style Transfer (I8)
|
98% |
8521
11.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1088
38.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1044
37.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3280
117.1 IPS |
|
|
Text Classification (F32)
|
100% |
890
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
895
1.29 KIPS |
|
|
Text Classification (I8)
|
92% |
671
963.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1538
28.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1834
33.8 IPS |
|
|
Machine Translation (I8)
|
64% |
736
13.6 IPS |
