vivo V2254
Geekbench AI Score
127
Single Precision Score
122
Half Precision Score
86
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 01:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | vivo V2254 |
| Model ID | vivo V2254 |
| Motherboard | k65v1_64_bsp |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
78
14.6 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.9 IPS |
|
|
Image Classification (Q)
|
100% |
69
12.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
101
1.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
89
1.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
422
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
417
0.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
401
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.14 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.20 IPS |
|
|
Object Detection (Q)
|
85% |
68
5.51 IPS |
|
|
Face Detection (SP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (HP)
|
100% |
214
2.55 IPS |
|
|
Face Detection (Q)
|
97% |
174
2.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
271
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
271
2.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
201
1.84 IPS |
|
|
Style Transfer (SP)
|
100% |
762
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
758
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
717
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
172
6.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
166
6.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
145
5.37 IPS |
|
|
Text Classification (SP)
|
35% |
7
60.2 IPS |
|
|
Text Classification (HP)
|
35% |
6
60.2 IPS |
|
|
Text Classification (Q)
|
32% |
4
56.4 IPS |
|
|
Machine Translation (SP)
|
100% |
77
1.33 IPS |
|
|
Machine Translation (HP)
|
100% |
64
1.09 IPS |
|
|
Machine Translation (Q)
|
41% |
10
0.70 IPS |
