vivo V2366HA
Geekbench AI Score
2400
Single Precision Score
2410
Half Precision Score
3764
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 10:12 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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
1798
334.4 IPS |
|
|
Image Classification (Q)
|
100% |
2851
530.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3571
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3853
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3947
4.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
8520
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
1813
144.3 IPS |
|
|
Object Detection (HP)
|
98% |
1779
141.5 IPS |
|
|
Object Detection (Q)
|
83% |
2577
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (Q)
|
95% |
6246
74.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3630
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3703
28.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6060
55.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9204
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9073
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18032
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4300
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
745
994.1 IPS |
|
|
Text Classification (HP)
|
99% |
743
991.5 IPS |
|
|
Text Classification (Q)
|
88% |
1118
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
779
27.7 IPS |
