vivo V2309
Geekbench AI Score
2356
Single Precision Score
2336
Half Precision Score
3414
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 15 2025 10:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2309 |
| Model ID | vivo V2309 |
| 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 @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 14.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (HP)
|
100% |
1725
320.7 IPS |
|
|
Image Classification (Q)
|
100% |
2573
478.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2742
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3340
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
6592
7.82 IPS |
|
|
Object Detection (SP)
|
98% |
1596
127.0 IPS |
|
|
Object Detection (HP)
|
98% |
1695
134.9 IPS |
|
|
Object Detection (Q)
|
83% |
2484
200.6 IPS |
|
|
Face Detection (SP)
|
100% |
3522
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
5607
66.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3888
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3838
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5806
53.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7721
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7681
9.97 IPS |
|
|
Style Transfer (Q)
|
98% |
14261
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3626
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1390
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1861
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1693
29.2 IPS |
|
|
Machine Translation (Q)
|
50% |
798
28.3 IPS |
