vivo V2366HA
Geekbench AI Score
1191
Single Precision Score
1718
Half Precision Score
1598
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | yu17 |
| Upload Date | November 04 2024 12:04 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
848
157.6 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (Q)
|
96% |
645
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1010
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2543
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
751
59.5 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (Q)
|
87% |
1104
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (Q)
|
97% |
2386
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1843
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3793
29.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3070
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6747
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10897
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10784
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1551
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
486
648.0 IPS |
|
|
Text Classification (HP)
|
100% |
486
649.1 IPS |
|
|
Text Classification (Q)
|
91% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
627
15.3 IPS |
