vivo V2158
Geekbench ML Score
452
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 15 2024 01:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2158 |
| Model ID | vivo V2158 |
| Motherboard | k6893v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
250
46.8 IPS |
|
|
Image Classification (F16)
|
100% |
201
37.6 IPS |
|
|
Image Classification (I8)
|
97% |
365
68.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
302
5.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
304
5.07 IPS |
|
|
Image Segmentation (I8)
|
98% |
397
6.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
494
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
485
0.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
2065
2.50 IPS |
|
|
Object Detection (F32)
|
100% |
232
17.3 IPS |
|
|
Object Detection (F16)
|
100% |
235
17.6 IPS |
|
|
Object Detection (I8)
|
61% |
498
37.2 IPS |
|
|
Face Detection (F32)
|
100% |
553
6.58 IPS |
|
|
Face Detection (F16)
|
100% |
548
6.52 IPS |
|
|
Face Detection (I8)
|
86% |
993
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
485
3.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
507
3.93 IPS |
|
|
Depth Estimation (I8)
|
95% |
1062
8.23 IPS |
|
|
Style Transfer (F32)
|
100% |
999
1.31 IPS |
|
|
Style Transfer (F16)
|
100% |
1002
1.32 IPS |
|
|
Style Transfer (I8)
|
98% |
2047
2.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
287
10.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
256
9.14 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
723
25.8 IPS |
|
|
Text Classification (F32)
|
100% |
238
342.7 IPS |
|
|
Text Classification (F16)
|
100% |
236
339.8 IPS |
|
|
Text Classification (I8)
|
92% |
240
344.3 IPS |
|
|
Machine Translation (F32)
|
100% |
438
8.06 IPS |
|
|
Machine Translation (F16)
|
100% |
452
8.32 IPS |
|
|
Machine Translation (I8)
|
64% |
228
4.19 IPS |
