vivo V2241A
Geekbench ML Score
408
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 01:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2241A |
| Model ID | vivo V2241A |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
293
31.4 IPS |
|
|
Image Classification (F16)
|
100% |
226
24.2 IPS |
|
|
Image Classification (I8)
|
81% |
180
19.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
571
3.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
600
3.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
924
5.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
343
1.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
339
1.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
266
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
275
9.67 IPS |
|
|
Object Detection (F16)
|
100% |
273
9.59 IPS |
|
|
Object Detection (I8)
|
52% |
284
9.96 IPS |
|
|
Face Detection (F32)
|
100% |
580
6.67 IPS |
|
|
Face Detection (F16)
|
100% |
591
6.79 IPS |
|
|
Face Detection (I8)
|
75% |
528
6.06 IPS |
|
|
Text Classification (F32)
|
100% |
336
133.0 IPS |
|
|
Text Classification (F16)
|
100% |
301
119.2 IPS |
|
|
Machine Translation (F32)
|
100% |
946
145.7 IPS |
|
|
Machine Translation (F16)
|
100% |
945
145.6 IPS |
