vivo V2419A
Geekbench AI Score
1248
Single Precision Score
1513
Half Precision Score
1322
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 06:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
462
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.6 IPS |
|
|
Image Classification (Q)
|
97% |
590
110.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2339
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8987
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14706
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14656
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
99% |
674
53.5 IPS |
|
|
Object Detection (Q)
|
83% |
654
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (Q)
|
96% |
3600
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4032
31.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5225
40.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4102
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14414
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23533
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24162
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2223
82.4 IPS |
|
|
Text Classification (SP)
|
35% |
21
192.2 IPS |
|
|
Text Classification (HP)
|
29% |
11
195.7 IPS |
|
|
Text Classification (Q)
|
32% |
15
199.2 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
43% |
104
6.04 IPS |
