vivo V2361A
Geekbench ML Score
487
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 15 2025 09:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2361A |
| Model ID | vivo V2361A |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
318
59.5 IPS |
|
|
Image Classification (F16)
|
100% |
389
72.8 IPS |
|
|
Image Classification (I8)
|
99% |
342
64.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
554
9.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
881
14.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
733
12.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
324
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
686
0.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
674
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
220
16.4 IPS |
|
|
Object Detection (F16)
|
100% |
185
13.8 IPS |
|
|
Object Detection (I8)
|
62% |
187
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
998
11.9 IPS |
|
|
Face Detection (F16)
|
97% |
1441
17.1 IPS |
|
|
Face Detection (I8)
|
86% |
1221
14.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
672
5.21 IPS |
|
|
Depth Estimation (F16)
|
100% |
1307
10.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1287
9.98 IPS |
|
|
Style Transfer (F32)
|
100% |
1647
2.17 IPS |
|
|
Style Transfer (F16)
|
100% |
3648
4.80 IPS |
|
|
Style Transfer (I8)
|
98% |
3600
4.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
214
7.64 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
317
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
306
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
103
147.5 IPS |
|
|
Text Classification (F16)
|
100% |
47
67.4 IPS |
|
|
Text Classification (I8)
|
92% |
159
228.0 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.75 IPS |
|
|
Machine Translation (F16)
|
100% |
314
5.79 IPS |
|
|
Machine Translation (I8)
|
64% |
380
6.99 IPS |
