vivo V2546A
Geekbench AI Score
2318
Single Precision Score
3848
Half Precision Score
5471
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 12:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2546A |
| Model ID | vivo V2546A |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
2316
430.7 IPS |
|
|
Image Classification (Q)
|
99% |
4547
848.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5496
89.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
92% |
10823
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
12298
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1070
84.9 IPS |
|
|
Object Detection (HP)
|
97% |
1907
151.8 IPS |
|
|
Object Detection (Q)
|
85% |
3893
313.7 IPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5562
66.1 IPS |
|
|
Face Detection (Q)
|
97% |
8984
107.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4298
33.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7376
57.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
9804
90.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7397
9.60 IPS |
|
|
Style Transfer (HP)
|
88% |
11894
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24283
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4317
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6188
229.3 IPS |
|
|
Text Classification (SP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1276
1.70 KIPS |
|
|
Text Classification (Q)
|
93% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1922
33.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1177
31.6 IPS |
