vivo V2408A
Geekbench ML Score
1548
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 10 2025 09:17 AM |
| Views | 3 |
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 | 14.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
984
184.2 IPS |
|
|
Image Classification (F16)
|
100% |
1019
190.7 IPS |
|
|
Image Classification (I8)
|
97% |
1353
253.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1260
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1137
19.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
982
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1810
2.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
1822
2.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
6690
8.10 IPS |
|
|
Object Detection (F32)
|
100% |
910
67.9 IPS |
|
|
Object Detection (F16)
|
100% |
913
68.1 IPS |
|
|
Object Detection (I8)
|
61% |
1327
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
2124
25.3 IPS |
|
|
Face Detection (F16)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (I8)
|
86% |
2062
24.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1851
14.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1876
14.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3525
27.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3147
4.14 IPS |
|
|
Style Transfer (F16)
|
100% |
3175
4.18 IPS |
|
|
Style Transfer (I8)
|
98% |
6186
8.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1092
39.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1065
38.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3179
113.5 IPS |
|
|
Text Classification (F32)
|
100% |
790
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
802
1.15 KIPS |
|
|
Text Classification (I8)
|
92% |
489
702.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1694
31.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1701
31.3 IPS |
|
|
Machine Translation (I8)
|
64% |
469
8.62 IPS |
