vivo V2425A
Geekbench AI Score
2648
Single Precision Score
2647
Half Precision Score
4222
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 04:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2425A |
| Model ID | vivo V2425A |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1961
364.6 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.7 IPS |
|
|
Image Classification (Q)
|
100% |
3798
706.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4115
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4227
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4108
4.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
9645
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1934
153.9 IPS |
|
|
Object Detection (HP)
|
98% |
1933
153.8 IPS |
|
|
Object Detection (Q)
|
83% |
2820
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (Q)
|
95% |
6868
82.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3935
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3896
30.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7141
65.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10396
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10341
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20965
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2062
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4682
173.5 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
826
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
1196
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
736
26.1 IPS |
