vivo V2230
Geekbench AI Score
979
Single Precision Score
975
Half Precision Score
1776
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 02:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2230 |
| Model ID | vivo V2230 |
| Motherboard | k6895v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
100% |
1467
272.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1778
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1921
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
3127
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
1134
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1334
15.9 IPS |
|
|
Face Detection (Q)
|
95% |
2795
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1852
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1830
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2846
26.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3564
4.63 IPS |
|
|
Style Transfer (HP)
|
89% |
3590
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
7214
9.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1017
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1707
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
459
613.2 IPS |
|
|
Text Classification (HP)
|
100% |
469
626.0 IPS |
|
|
Text Classification (Q)
|
88% |
791
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
438
15.5 IPS |
