vivo V2503
Geekbench AI Score
1795
Single Precision Score
1786
Half Precision Score
2525
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 03:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2503 |
| Model ID | vivo V2503 |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1540
286.4 IPS |
|
|
Image Classification (HP)
|
100% |
1524
283.4 IPS |
|
|
Image Classification (Q)
|
100% |
2179
405.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2322
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2713
3.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
5406
6.41 IPS |
|
|
Object Detection (SP)
|
98% |
1130
90.0 IPS |
|
|
Object Detection (HP)
|
98% |
1206
95.9 IPS |
|
|
Object Detection (Q)
|
83% |
1612
130.2 IPS |
|
|
Face Detection (SP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (Q)
|
95% |
3782
45.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2712
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2720
21.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3993
36.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5680
7.37 IPS |
|
|
Style Transfer (HP)
|
89% |
5677
7.37 IPS |
|
|
Style Transfer (Q)
|
98% |
10401
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1284
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1289
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2595
96.2 IPS |
|
|
Text Classification (SP)
|
100% |
571
761.7 IPS |
|
|
Text Classification (HP)
|
99% |
529
705.7 IPS |
|
|
Text Classification (Q)
|
88% |
983
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
598
21.2 IPS |
