vivo V2254
Geekbench AI Score
128
Single Precision Score
121
Half Precision Score
88
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 11:17 PM |
| Views | 10 |
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% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
100% |
69
12.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
102
1.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
89
1.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
418
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
417
0.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
405
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.10 IPS |
|
|
Object Detection (HP)
|
100% |
79
6.24 IPS |
|
|
Object Detection (Q)
|
85% |
69
5.56 IPS |
|
|
Face Detection (SP)
|
100% |
230
2.73 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (Q)
|
97% |
175
2.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
270
2.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
201
1.83 IPS |
|
|
Style Transfer (SP)
|
100% |
769
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
759
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
717
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
172
6.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
165
6.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
148
5.48 IPS |
|
|
Text Classification (SP)
|
35% |
8
69.2 IPS |
|
|
Text Classification (HP)
|
35% |
6
58.7 IPS |
|
|
Text Classification (Q)
|
32% |
4
53.7 IPS |
|
|
Machine Translation (SP)
|
100% |
73
1.26 IPS |
|
|
Machine Translation (HP)
|
100% |
60
1.03 IPS |
|
|
Machine Translation (Q)
|
41% |
11
0.71 IPS |
