vivo V2413
Geekbench AI Score
1161
Single Precision Score
8655
Half Precision Score
11875
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 05:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1109
206.3 IPS |
|
|
Image Classification (HP)
|
100% |
4564
848.8 IPS |
|
|
Image Classification (Q)
|
99% |
11058
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4357
70.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2055
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9126
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21279
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
86887
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (HP)
|
100% |
5117
405.9 IPS |
|
|
Object Detection (Q)
|
86% |
6183
497.4 IPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
13654
162.2 IPS |
|
|
Face Detection (Q)
|
97% |
14970
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
745
5.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
21292
164.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
35876
340.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2779
3.57 IPS |
|
|
Style Transfer (HP)
|
100% |
67269
86.5 IPS |
|
|
Style Transfer (Q)
|
98% |
237418
306.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12003
443.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37425
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
128
170.4 IPS |
|
|
Text Classification (HP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2167
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (HP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (Q)
|
60% |
442
9.96 IPS |
