vivo V2361A
Geekbench AI Score
1064
Single Precision Score
1066
Half Precision Score
2445
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 12:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2361A |
| Model ID | vivo V2361A |
| Motherboard | crow |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
741
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (Q)
|
100% |
1918
356.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2010
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1911
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
5075
6.02 IPS |
|
|
Object Detection (SP)
|
98% |
654
52.1 IPS |
|
|
Object Detection (HP)
|
98% |
688
54.8 IPS |
|
|
Object Detection (Q)
|
83% |
1634
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
3941
47.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1460
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1462
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3797
34.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4343
5.64 IPS |
|
|
Style Transfer (HP)
|
89% |
4352
5.65 IPS |
|
|
Style Transfer (Q)
|
98% |
11458
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2892
107.2 IPS |
|
|
Text Classification (SP)
|
100% |
556
742.3 IPS |
|
|
Text Classification (HP)
|
99% |
549
733.1 IPS |
|
|
Text Classification (Q)
|
88% |
1002
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
482
17.1 IPS |
