vivo V2408A
Geekbench ML Score
1812
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 17 2025 03:52 AM |
| Views | 14 |
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% |
1131
211.7 IPS |
|
|
Image Classification (F16)
|
100% |
1166
218.2 IPS |
|
|
Image Classification (I8)
|
97% |
1579
295.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1401
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1437
24.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1366
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2103
2.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
2117
2.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
8285
10.0 IPS |
|
|
Object Detection (F32)
|
100% |
1010
75.4 IPS |
|
|
Object Detection (F16)
|
100% |
1121
83.7 IPS |
|
|
Object Detection (I8)
|
61% |
1987
148.4 IPS |
|
|
Face Detection (F32)
|
100% |
2477
29.5 IPS |
|
|
Face Detection (F16)
|
100% |
2489
29.6 IPS |
|
|
Face Detection (I8)
|
86% |
4073
48.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2132
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2075
16.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3772
29.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3317
4.36 IPS |
|
|
Style Transfer (F16)
|
100% |
3287
4.32 IPS |
|
|
Style Transfer (I8)
|
98% |
8453
11.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1139
40.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1085
38.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3116
111.3 IPS |
|
|
Text Classification (F32)
|
100% |
806
1.16 KIPS |
|
|
Text Classification (F16)
|
100% |
809
1.16 KIPS |
|
|
Text Classification (I8)
|
92% |
517
743.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1730
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1744
32.1 IPS |
|
|
Machine Translation (I8)
|
64% |
785
14.4 IPS |
