vivo V2302A
Geekbench AI Score
1798
Single Precision Score
1769
Half Precision Score
2919
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 10:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2302A |
| Model ID | vivo V2302A |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 15.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (Q)
|
100% |
2389
444.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2428
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2664
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2406
2.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
6671
7.91 IPS |
|
|
Object Detection (SP)
|
98% |
1366
108.7 IPS |
|
|
Object Detection (HP)
|
98% |
1348
107.3 IPS |
|
|
Object Detection (Q)
|
83% |
1918
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (Q)
|
95% |
4527
54.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2635
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2603
20.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4630
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6061
7.87 IPS |
|
|
Style Transfer (HP)
|
89% |
6122
7.95 IPS |
|
|
Style Transfer (Q)
|
98% |
12455
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3130
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
650
867.7 IPS |
|
|
Text Classification (HP)
|
99% |
628
838.1 IPS |
|
|
Text Classification (Q)
|
88% |
1130
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
657
23.3 IPS |
