vivo V2319
Geekbench ML Score
449
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 03 2024 04:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2319 |
| Model ID | vivo V2319 |
| Motherboard | k6895v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
214
40.1 IPS |
|
|
Image Classification (F16)
|
100% |
230
43.1 IPS |
|
|
Image Classification (I8)
|
97% |
316
59.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
292
4.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
302
5.05 IPS |
|
|
Image Segmentation (I8)
|
98% |
447
7.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
507
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
520
0.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
1759
2.13 IPS |
|
|
Object Detection (F32)
|
100% |
228
17.0 IPS |
|
|
Object Detection (F16)
|
100% |
206
15.4 IPS |
|
|
Object Detection (I8)
|
61% |
443
33.1 IPS |
|
|
Face Detection (F32)
|
100% |
432
5.14 IPS |
|
|
Face Detection (F16)
|
100% |
452
5.38 IPS |
|
|
Face Detection (I8)
|
86% |
820
9.75 IPS |
|
|
Depth Estimation (F32)
|
100% |
472
3.66 IPS |
|
|
Depth Estimation (F16)
|
100% |
500
3.88 IPS |
|
|
Depth Estimation (I8)
|
95% |
799
6.20 IPS |
|
|
Style Transfer (F32)
|
100% |
1057
1.39 IPS |
|
|
Style Transfer (F16)
|
100% |
1095
1.44 IPS |
|
|
Style Transfer (I8)
|
98% |
2212
2.91 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
291
10.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
310
11.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
958
34.2 IPS |
|
|
Text Classification (F32)
|
100% |
333
478.7 IPS |
|
|
Text Classification (F16)
|
100% |
324
466.3 IPS |
|
|
Text Classification (I8)
|
92% |
258
371.1 IPS |
|
|
Machine Translation (F32)
|
100% |
407
7.50 IPS |
|
|
Machine Translation (F16)
|
100% |
404
7.43 IPS |
|
|
Machine Translation (I8)
|
64% |
211
3.87 IPS |
