vivo V2245A
Geekbench AI Score
881
Single Precision Score
893
Half Precision Score
1837
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 25 2025 09:23 PM |
| Views | 5 |
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% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
100% |
1494
277.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1598
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1673
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2050
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3637
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (Q)
|
83% |
1260
101.8 IPS |
|
|
Face Detection (SP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1438
17.1 IPS |
|
|
Face Detection (Q)
|
95% |
3128
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1932
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1840
14.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3226
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3129
4.06 IPS |
|
|
Style Transfer (HP)
|
89% |
3153
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
7083
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1785
66.1 IPS |
|
|
Text Classification (SP)
|
100% |
475
634.6 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.8 IPS |
|
|
Text Classification (Q)
|
88% |
820
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
50% |
383
13.6 IPS |
