vivo V2502A
Geekbench AI Score
1424
Single Precision Score
1855
Half Precision Score
1521
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Shakov9202 |
| Upload Date | January 24 2026 03:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2502A |
| Model ID | vivo V2502A |
| Motherboard | k6993v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 |
| 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 | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (HP)
|
100% |
739
137.5 IPS |
|
|
Image Classification (Q)
|
97% |
686
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3040
49.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2663
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11408
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19301
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18536
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
99% |
778
61.7 IPS |
|
|
Object Detection (Q)
|
83% |
734
59.3 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3912
46.5 IPS |
|
|
Face Detection (Q)
|
96% |
3631
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4690
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5676
43.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4880
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16953
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26349
33.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26108
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2600
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2188
81.1 IPS |
|
|
Text Classification (SP)
|
35% |
25
228.6 IPS |
|
|
Text Classification (HP)
|
29% |
18
310.8 IPS |
|
|
Text Classification (Q)
|
32% |
22
278.9 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.00 IPS |
|
|
Machine Translation (Q)
|
43% |
120
6.96 IPS |
