vivo V2304A
Geekbench AI Score
1255
Single Precision Score
2022
Half Precision Score
1639
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 14 2026 05:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2304A |
| Model ID | vivo V2304A |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
801
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1315
244.6 IPS |
|
|
Image Classification (Q)
|
99% |
999
186.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2373
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6366
7.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
11019
12.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
10827
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (HP)
|
99% |
933
74.0 IPS |
|
|
Object Detection (Q)
|
82% |
992
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (Q)
|
97% |
3212
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2970
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4496
34.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3613
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7855
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18478
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16061
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2968
110.0 IPS |
|
|
Text Classification (SP)
|
35% |
37
363.4 IPS |
|
|
Text Classification (HP)
|
35% |
52
469.5 IPS |
|
|
Text Classification (Q)
|
35% |
49
480.5 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.72 IPS |
|
|
Machine Translation (HP)
|
97% |
621
10.7 IPS |
|
|
Machine Translation (Q)
|
49% |
203
7.61 IPS |
