vivo V2366GA
Geekbench AI Score
285
Single Precision Score
278
Half Precision Score
654
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 11:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
206
38.4 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (Q)
|
99% |
385
71.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
533
8.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
270
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
258
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
1010
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
87% |
416
33.4 IPS |
|
|
Face Detection (SP)
|
100% |
460
5.47 IPS |
|
|
Face Detection (HP)
|
100% |
497
5.90 IPS |
|
|
Face Detection (Q)
|
97% |
1118
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
423
3.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
358
2.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1044
9.47 IPS |
|
|
Style Transfer (SP)
|
100% |
751
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
700
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
1770
2.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
172
6.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
588
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.7 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.6 IPS |
|
|
Text Classification (Q)
|
91% |
346
465.4 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
57% |
398
9.72 IPS |
