vivo V2511
Geekbench AI Score
1307
Single Precision Score
1295
Half Precision Score
2953
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 08:18 AM |
| Views | 1 |
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 | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1072
199.3 IPS |
|
|
Image Classification (HP)
|
100% |
965
179.5 IPS |
|
|
Image Classification (Q)
|
100% |
2192
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2518
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2315
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2294
2.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
6337
7.52 IPS |
|
|
Object Detection (SP)
|
98% |
1080
86.0 IPS |
|
|
Object Detection (HP)
|
98% |
1047
83.3 IPS |
|
|
Object Detection (Q)
|
83% |
2044
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
1401
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
4880
58.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1830
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1807
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5280
48.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5258
6.83 IPS |
|
|
Style Transfer (HP)
|
89% |
5283
6.86 IPS |
|
|
Style Transfer (Q)
|
98% |
14120
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3484
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
578
770.9 IPS |
|
|
Text Classification (HP)
|
99% |
633
844.9 IPS |
|
|
Text Classification (Q)
|
88% |
1096
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
