vivo V2405A
Geekbench AI Score
2356
Single Precision Score
2353
Half Precision Score
3392
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Vibox200pro |
| Upload Date | June 04 2025 11:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2405A |
| Model ID | vivo V2405A |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1666
309.9 IPS |
|
|
Image Classification (HP)
|
100% |
1726
321.0 IPS |
|
|
Image Classification (Q)
|
100% |
2561
476.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2828
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3659
4.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
7256
8.61 IPS |
|
|
Object Detection (SP)
|
98% |
1646
131.0 IPS |
|
|
Object Detection (HP)
|
98% |
1654
131.6 IPS |
|
|
Object Detection (Q)
|
83% |
2408
194.5 IPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
5389
64.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3896
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3868
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5556
50.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7983
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7842
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14556
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3400
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1322
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1908
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (Q)
|
50% |
815
28.9 IPS |
