vivo V2413
Geekbench AI Score
2043
Single Precision Score
2030
Half Precision Score
3055
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | skikitt |
| Upload Date | May 29 2025 10:36 PM |
| Views | 9 |
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% |
1451
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (Q)
|
100% |
2412
448.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2597
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3191
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3195
3.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
6405
7.60 IPS |
|
|
Object Detection (SP)
|
98% |
1389
110.6 IPS |
|
|
Object Detection (HP)
|
98% |
1374
109.4 IPS |
|
|
Object Detection (Q)
|
83% |
2206
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
2851
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
5011
59.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3554
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3261
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4768
43.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7035
9.13 IPS |
|
|
Style Transfer (HP)
|
89% |
7046
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
12866
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3110
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.4 IPS |
|
|
Text Classification (HP)
|
99% |
674
899.7 IPS |
|
|
Text Classification (Q)
|
88% |
1139
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (Q)
|
50% |
736
26.1 IPS |
