vivo V2231
Geekbench AI Score
327
Single Precision Score
1434
Half Precision Score
2422
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SamsulGG15 |
| Upload Date | October 27 2024 11:24 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2231 |
| Model ID | vivo V2231 |
| Motherboard | k6886v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
312
58.1 IPS |
|
|
Image Classification (HP)
|
100% |
1598
297.1 IPS |
|
|
Image Classification (Q)
|
99% |
4370
815.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1126
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2077
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
26421
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (Q)
|
86% |
2339
188.2 IPS |
|
|
Face Detection (SP)
|
28% |
27
5.11 IPS |
|
|
Face Detection (HP)
|
100% |
3621
43.0 IPS |
|
|
Face Detection (Q)
|
97% |
7096
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
7000
53.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
14848
141.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1061
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
382
0.49 IPS |
|
|
Style Transfer (Q)
|
30% |
372
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2919
425.2 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.3 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.8 IPS |
|
|
Text Classification (Q)
|
93% |
798
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.88 IPS |
|
|
Machine Translation (Q)
|
60% |
251
5.65 IPS |
