vivo V2502A
Geekbench AI Score
1235
Single Precision Score
1730
Half Precision Score
1397
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Shakov9202 |
| Upload Date | January 24 2026 03:31 PM |
| Views | 7 |
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% |
484
89.9 IPS |
|
|
Image Classification (HP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (Q)
|
97% |
705
131.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2654
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2590
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8173
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14495
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13947
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
99% |
783
62.1 IPS |
|
|
Object Detection (Q)
|
83% |
762
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
2785
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (Q)
|
96% |
3037
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3610
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5360
41.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4168
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12932
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22966
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22726
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2583
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2275
84.3 IPS |
|
|
Text Classification (SP)
|
35% |
27
244.0 IPS |
|
|
Text Classification (HP)
|
29% |
15
259.8 IPS |
|
|
Text Classification (Q)
|
32% |
19
240.5 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.26 IPS |
|
|
Machine Translation (Q)
|
43% |
118
6.84 IPS |
