vivo V2408A
Geekbench ML Score
1935
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 17 2025 03:48 AM |
| Views | 2 |
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% |
1182
221.2 IPS |
|
|
Image Classification (F16)
|
100% |
1089
203.9 IPS |
|
|
Image Classification (I8)
|
97% |
1711
320.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1486
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1537
25.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1694
28.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2236
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
2177
2.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
9210
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1253
93.5 IPS |
|
|
Object Detection (F16)
|
100% |
1191
88.9 IPS |
|
|
Object Detection (I8)
|
61% |
2057
153.6 IPS |
|
|
Face Detection (F32)
|
100% |
2478
29.5 IPS |
|
|
Face Detection (F16)
|
100% |
2422
28.8 IPS |
|
|
Face Detection (I8)
|
86% |
4078
48.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2259
17.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2148
16.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
4223
32.7 IPS |
|
|
Style Transfer (F32)
|
100% |
3416
4.49 IPS |
|
|
Style Transfer (F16)
|
100% |
3509
4.62 IPS |
|
|
Style Transfer (I8)
|
98% |
9790
12.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1312
46.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1137
40.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3279
117.1 IPS |
|
|
Text Classification (F32)
|
100% |
897
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
882
1.27 KIPS |
|
|
Text Classification (I8)
|
92% |
631
907.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1734
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1717
31.6 IPS |
|
|
Machine Translation (I8)
|
64% |
802
14.8 IPS |
