vivo V2514
Geekbench AI Score
589
Single Precision Score
591
Half Precision Score
1360
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | zenckers81 |
| Upload Date | December 21 2025 12:03 AM |
| Views | 4 |
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% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (Q)
|
99% |
1139
212.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1081
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
678
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
2443
2.86 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
87% |
1009
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (Q)
|
97% |
1993
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
704
5.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
705
5.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
1801
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1004
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1008
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
2868
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
435
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1615
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
590
787.3 IPS |
|
|
Text Classification (HP)
|
100% |
591
788.6 IPS |
|
|
Text Classification (Q)
|
91% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
57% |
535
13.1 IPS |
