vivo V2515
Geekbench AI Score
500
Single Precision Score
495
Half Precision Score
1128
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 06:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2515 |
| Model ID | vivo V2515 |
| Motherboard | k6993v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores @ 2.70 GHz |
| Cluster 2 | 3 Cores @ 3.50 GHz |
| Cluster 3 | 1 Core @ 4.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
99% |
958
178.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
927
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
2076
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
87% |
865
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (Q)
|
97% |
1702
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
584
4.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
616
4.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
1545
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
889
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2366
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1315
48.7 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.4 IPS |
|
|
Text Classification (HP)
|
100% |
495
660.2 IPS |
|
|
Text Classification (Q)
|
91% |
669
899.8 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
383
9.36 IPS |
