vivo V2413
Geekbench AI Score
1826
Single Precision Score
1815
Half Precision Score
2821
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2025 02:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2413 |
| Model ID | vivo V2413 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 14.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
1311
243.9 IPS |
|
|
Image Classification (Q)
|
100% |
2161
401.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2510
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2855
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2886
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
5720
6.78 IPS |
|
|
Object Detection (SP)
|
98% |
942
75.0 IPS |
|
|
Object Detection (HP)
|
98% |
1135
90.3 IPS |
|
|
Object Detection (Q)
|
83% |
1869
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (Q)
|
95% |
4468
53.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3082
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3039
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4907
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6497
8.43 IPS |
|
|
Style Transfer (HP)
|
89% |
6922
8.99 IPS |
|
|
Style Transfer (Q)
|
98% |
11779
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2800
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.1 IPS |
|
|
Text Classification (HP)
|
99% |
633
844.5 IPS |
|
|
Text Classification (Q)
|
88% |
1114
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
685
24.3 IPS |
