vivo V2245A
Geekbench AI Score
1060
Single Precision Score
1063
Half Precision Score
2115
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 22 2025 12:12 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2245A |
| Model ID | vivo V2245A |
| Motherboard | k6895v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.8 IPS |
|
|
Image Classification (Q)
|
100% |
1700
316.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1946
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2242
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
3944
4.68 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
83% |
1337
108.0 IPS |
|
|
Face Detection (SP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (Q)
|
95% |
3415
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1724
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1782
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3482
31.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3967
5.15 IPS |
|
|
Style Transfer (HP)
|
89% |
3898
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
8735
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
933
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2141
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
571
762.2 IPS |
|
|
Text Classification (HP)
|
100% |
572
763.2 IPS |
|
|
Text Classification (Q)
|
88% |
1018
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.1 IPS |
