vivo V2419A
Geekbench AI Score
1366
Single Precision Score
9148
Half Precision Score
12720
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 06:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2419A |
| Model ID | vivo V2419A |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1141
212.2 IPS |
|
|
Image Classification (HP)
|
100% |
5384
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
13794
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4575
74.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2092
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9726
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21523
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
87068
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
100% |
5535
439.0 IPS |
|
|
Object Detection (Q)
|
86% |
6856
551.5 IPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
13564
161.2 IPS |
|
|
Face Detection (Q)
|
97% |
15081
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1319
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21558
166.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
38071
361.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3855
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
67285
86.5 IPS |
|
|
Style Transfer (Q)
|
98% |
239428
308.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2690
99.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12879
475.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39500
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
133
177.4 IPS |
|
|
Text Classification (HP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2430
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (HP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (Q)
|
60% |
488
11.0 IPS |
