vivo V2503
Geekbench AI Score
965
Single Precision Score
1252
Half Precision Score
1266
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 06:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
678
126.2 IPS |
|
|
Image Classification (HP)
|
100% |
746
138.7 IPS |
|
|
Image Classification (Q)
|
99% |
670
125.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1189
1.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1182
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
466
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
787
62.5 IPS |
|
|
Object Detection (Q)
|
83% |
921
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
2517
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1619
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2204
17.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1799
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4262
5.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5527
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
5514
7.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1098
40.7 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.0 IPS |
|
|
Text Classification (HP)
|
100% |
412
549.9 IPS |
|
|
Text Classification (Q)
|
91% |
654
879.2 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.67 IPS |
|
|
Machine Translation (Q)
|
57% |
479
11.7 IPS |
