vivo V2503
Geekbench AI Score
726
Single Precision Score
878
Half Precision Score
943
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 03:58 PM |
| Views | 1 |
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% |
430
80.0 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (Q)
|
99% |
545
101.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
561
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
832
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
828
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
83% |
750
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1910
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2059
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
2095
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1325
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1638
12.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1321
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3846
4.94 IPS |
|
|
Style Transfer (HP)
|
100% |
4877
6.27 IPS |
|
|
Style Transfer (Q)
|
98% |
4885
6.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
700
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
876
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
861
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.3 IPS |
|
|
Text Classification (HP)
|
100% |
205
274.1 IPS |
|
|
Text Classification (Q)
|
91% |
398
534.4 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
57% |
349
8.53 IPS |
