vivo V2408A
Geekbench ML Score
1547
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 03 2024 10:42 AM |
| 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 | 14.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
946
176.9 IPS |
|
|
Image Classification (F16)
|
100% |
959
179.5 IPS |
|
|
Image Classification (I8)
|
97% |
1228
229.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1161
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1163
19.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1122
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1831
2.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
1804
2.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
6730
8.15 IPS |
|
|
Object Detection (F32)
|
100% |
905
67.6 IPS |
|
|
Object Detection (F16)
|
100% |
887
66.3 IPS |
|
|
Object Detection (I8)
|
61% |
1625
121.3 IPS |
|
|
Face Detection (F32)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (F16)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (I8)
|
86% |
3122
37.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1931
15.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1953
15.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3575
27.7 IPS |
|
|
Style Transfer (F32)
|
100% |
3137
4.13 IPS |
|
|
Style Transfer (F16)
|
100% |
2953
3.88 IPS |
|
|
Style Transfer (I8)
|
98% |
7333
9.65 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
956
34.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
899
32.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2762
98.7 IPS |
|
|
Text Classification (F32)
|
100% |
741
1.07 KIPS |
|
|
Text Classification (F16)
|
100% |
746
1.07 KIPS |
|
|
Text Classification (I8)
|
92% |
444
638.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1460
26.9 IPS |
|
|
Machine Translation (I8)
|
64% |
664
12.2 IPS |
