vivo V2366HA
Geekbench AI Score
518
Single Precision Score
520
Half Precision Score
1183
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | yu17 |
| Upload Date | November 04 2024 12:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.5 IPS |
|
|
Image Classification (Q)
|
99% |
831
154.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
839
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
552
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
2131
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (Q)
|
87% |
867
69.5 IPS |
|
|
Face Detection (SP)
|
100% |
746
8.87 IPS |
|
|
Face Detection (HP)
|
100% |
754
8.95 IPS |
|
|
Face Detection (Q)
|
97% |
1711
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
662
5.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
1585
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1058
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1059
1.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2622
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1226
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.1 IPS |
|
|
Text Classification (HP)
|
100% |
482
643.3 IPS |
|
|
Text Classification (Q)
|
91% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
622
15.2 IPS |
