vivo V2366GA
Geekbench AI Score
2574
Single Precision Score
2538
Half Precision Score
4078
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 11:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2366GA |
| Model ID | vivo V2366GA |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1892
351.9 IPS |
|
|
Image Classification (HP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (Q)
|
100% |
3215
597.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4282
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4151
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3939
4.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
9473
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
1876
149.3 IPS |
|
|
Object Detection (HP)
|
98% |
1714
136.4 IPS |
|
|
Object Detection (Q)
|
83% |
2672
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (Q)
|
95% |
6857
81.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4144
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4036
31.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6956
63.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10110
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9553
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19170
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4716
174.7 IPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
819
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1183
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
717
25.5 IPS |
