vivo V2436
Geekbench AI Score
568
Single Precision Score
567
Half Precision Score
1063
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 10:07 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2436 |
| Model ID | vivo V2436 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (Q)
|
100% |
722
134.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1261
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1260
1.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
1748
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
83% |
714
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (Q)
|
95% |
1716
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1087
8.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
1079
8.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1642
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2084
2.71 IPS |
|
|
Style Transfer (HP)
|
89% |
2083
2.70 IPS |
|
|
Style Transfer (Q)
|
98% |
4190
5.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
578
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
999
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.1 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.3 IPS |
|
|
Text Classification (Q)
|
88% |
569
767.5 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
370
13.1 IPS |
