vivo V2464A
Geekbench AI Score
1332
Single Precision Score
1333
Half Precision Score
3006
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 27 2026 05:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2464A |
| Model ID | vivo V2464A |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 3 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1010
187.8 IPS |
|
|
Image Classification (HP)
|
100% |
1082
201.2 IPS |
|
|
Image Classification (Q)
|
100% |
2188
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2619
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2324
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
6403
7.59 IPS |
|
|
Object Detection (SP)
|
98% |
1098
87.4 IPS |
|
|
Object Detection (HP)
|
98% |
1099
87.5 IPS |
|
|
Object Detection (Q)
|
83% |
2087
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1401
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
5044
60.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1791
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1820
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5484
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5264
6.83 IPS |
|
|
Style Transfer (HP)
|
89% |
5249
6.81 IPS |
|
|
Style Transfer (Q)
|
98% |
14280
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3599
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
672
897.0 IPS |
|
|
Text Classification (HP)
|
99% |
609
813.1 IPS |
|
|
Text Classification (Q)
|
88% |
1035
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
535
19.0 IPS |
