vivo V2511
Geekbench AI Score
1326
Single Precision Score
1335
Half Precision Score
3023
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 09:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2511 |
| Model ID | vivo V2511 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 3 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1139
211.9 IPS |
|
|
Image Classification (HP)
|
100% |
1138
211.7 IPS |
|
|
Image Classification (Q)
|
100% |
2145
398.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
906
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2560
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2298
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2277
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
6422
7.62 IPS |
|
|
Object Detection (SP)
|
98% |
1097
87.3 IPS |
|
|
Object Detection (HP)
|
98% |
1081
86.0 IPS |
|
|
Object Detection (Q)
|
83% |
2091
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
5047
60.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1701
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1737
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5361
49.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5275
6.85 IPS |
|
|
Style Transfer (HP)
|
89% |
5310
6.89 IPS |
|
|
Style Transfer (Q)
|
98% |
14294
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3624
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.0 IPS |
|
|
Text Classification (HP)
|
99% |
672
896.8 IPS |
|
|
Text Classification (Q)
|
88% |
1160
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
