vivo V2514
Geekbench AI Score
1253
Single Precision Score
1763
Half Precision Score
1501
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Cifra45 |
| Upload Date | December 25 2025 07:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
535
99.5 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.2 IPS |
|
|
Image Classification (Q)
|
97% |
676
126.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2337
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8360
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
14672
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14646
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
802
63.6 IPS |
|
|
Object Detection (Q)
|
83% |
739
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (Q)
|
96% |
4040
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3463
26.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5177
40.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4335
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13896
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23224
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21865
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2439
90.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2329
86.3 IPS |
|
|
Text Classification (SP)
|
35% |
23
211.5 IPS |
|
|
Text Classification (HP)
|
29% |
19
325.9 IPS |
|
|
Text Classification (Q)
|
32% |
26
336.7 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
43% |
147
8.54 IPS |
