vivo V2366HA
Geekbench AI Score
2426
Single Precision Score
2387
Half Precision Score
3668
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 11:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2366HA |
| Model ID | vivo V2366HA |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1947
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.3 IPS |
|
|
Image Classification (Q)
|
100% |
2778
516.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3247
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4035
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4046
4.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
8876
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1803
143.5 IPS |
|
|
Object Detection (HP)
|
98% |
1805
143.6 IPS |
|
|
Object Detection (Q)
|
83% |
2497
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (Q)
|
95% |
5869
70.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3726
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3727
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6035
55.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9162
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9193
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18218
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4421
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
747
996.6 IPS |
|
|
Text Classification (Q)
|
88% |
1114
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
695
24.7 IPS |
