vivo V2514
Geekbench AI Score
653
Single Precision Score
662
Half Precision Score
1538
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 06 2026 02:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2514 |
| Model ID | vivo V2514 |
| Motherboard | k6993v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 revision 0 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores @ 2.70 GHz |
| Cluster 2 | 3 Cores @ 3.50 GHz |
| Cluster 3 | 1 Core @ 4.21 GHz |
| Memory Information | |
|---|---|
| Size | 15.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
99% |
1132
211.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1082
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
679
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
683
0.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
2846
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (Q)
|
87% |
1184
95.0 IPS |
|
|
Face Detection (SP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
2326
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
855
6.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
2093
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1195
1.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1258
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3342
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1881
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
684
912.4 IPS |
|
|
Text Classification (HP)
|
100% |
690
920.6 IPS |
|
|
Text Classification (Q)
|
91% |
943
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
57% |
625
15.3 IPS |
