vivo V2413
Geekbench AI Score
2491
Single Precision Score
2465
Half Precision Score
3672
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 08:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
1723
320.4 IPS |
|
|
Image Classification (Q)
|
100% |
2973
552.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3309
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3820
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3748
4.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
7291
8.65 IPS |
|
|
Object Detection (SP)
|
98% |
1638
130.4 IPS |
|
|
Object Detection (HP)
|
98% |
1581
125.8 IPS |
|
|
Object Detection (Q)
|
83% |
2400
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3446
40.9 IPS |
|
|
Face Detection (Q)
|
95% |
5647
67.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3968
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3998
30.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5870
53.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8545
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8463
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15726
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3779
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1467
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1919
33.1 IPS |
|
|
Machine Translation (Q)
|
50% |
897
31.8 IPS |
