vivo V2511
Geekbench AI Score
1295
Single Precision Score
1284
Half Precision Score
2750
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 08 2025 05:27 PM |
| Views | 3 |
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 | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1128
209.8 IPS |
|
|
Image Classification (HP)
|
100% |
1134
211.0 IPS |
|
|
Image Classification (Q)
|
100% |
2163
402.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2530
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2320
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2217
2.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
6026
7.15 IPS |
|
|
Object Detection (SP)
|
98% |
1041
82.9 IPS |
|
|
Object Detection (HP)
|
98% |
1036
82.5 IPS |
|
|
Object Detection (Q)
|
83% |
1981
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (Q)
|
95% |
4509
53.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1702
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1688
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4788
43.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5058
6.57 IPS |
|
|
Style Transfer (HP)
|
89% |
5034
6.54 IPS |
|
|
Style Transfer (Q)
|
98% |
12629
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3104
115.0 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.9 IPS |
|
|
Text Classification (HP)
|
99% |
566
755.9 IPS |
|
|
Text Classification (Q)
|
88% |
906
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
494
17.5 IPS |
