vivo V2324HA
Geekbench ML Score
3419
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 08:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2324HA |
| Model ID | vivo V2324HA |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 14.95 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
979
183.2 IPS |
|
|
Image Classification (F16)
|
100% |
4263
797.7 IPS |
|
|
Image Classification (I8)
|
97% |
9349
1.75 KIPS |
|
|
Image Segmentation (F32)
|
100% |
655
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4196
70.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1795
30.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8394
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
17826
21.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
68326
82.7 IPS |
|
|
Object Detection (F32)
|
100% |
697
52.0 IPS |
|
|
Object Detection (F16)
|
100% |
2886
215.4 IPS |
|
|
Object Detection (I8)
|
64% |
3274
244.5 IPS |
|
|
Face Detection (F32)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (F16)
|
97% |
12331
146.6 IPS |
|
|
Face Detection (I8)
|
86% |
11494
136.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
934
7.24 IPS |
|
|
Depth Estimation (F16)
|
100% |
12984
100.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
26649
206.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2567
3.38 IPS |
|
|
Style Transfer (F16)
|
100% |
2414
3.17 IPS |
|
|
Style Transfer (I8)
|
31% |
4687
6.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2195
78.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11393
406.9 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
33856
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
127
182.4 IPS |
|
|
Text Classification (F16)
|
100% |
1794
2.58 KIPS |
|
|
Text Classification (I8)
|
76% |
1806
2.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
388
7.14 IPS |
|
|
Machine Translation (F16)
|
100% |
2262
41.6 IPS |
|
|
Machine Translation (I8)
|
76% |
563
10.4 IPS |
