vivo V2511
Geekbench AI Score
1342
Single Precision Score
1341
Half Precision Score
2993
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 03:48 PM |
| Views | 2 |
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% |
1102
204.9 IPS |
|
|
Image Classification (HP)
|
100% |
1181
219.6 IPS |
|
|
Image Classification (Q)
|
100% |
2140
397.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2557
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
6618
7.85 IPS |
|
|
Object Detection (SP)
|
98% |
1152
91.7 IPS |
|
|
Object Detection (HP)
|
98% |
1137
90.5 IPS |
|
|
Object Detection (Q)
|
83% |
2115
170.9 IPS |
|
|
Face Detection (SP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
5019
59.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1604
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1639
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5437
49.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5276
6.85 IPS |
|
|
Style Transfer (HP)
|
89% |
5304
6.88 IPS |
|
|
Style Transfer (Q)
|
98% |
14260
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1064
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3543
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
665
887.9 IPS |
|
|
Text Classification (HP)
|
99% |
606
808.9 IPS |
|
|
Text Classification (Q)
|
88% |
1038
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
528
18.8 IPS |
