Wingtech REVVL V+ 5G
Geekbench AI Score
504
Single Precision Score
498
Half Precision Score
938
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 20 2024 02:56 AM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833V/NZA |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Wingtech REVVL V+ 5G |
| Model ID | Wingtech REVVL V+ 5G |
| Motherboard | S98115AA1S |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/NZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
646
120.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
698
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1070
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1637
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
646
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (Q)
|
95% |
1421
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
917
7.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
900
6.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
1506
13.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1836
2.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1834
2.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3731
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
910
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
272
362.7 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.8 IPS |
|
|
Text Classification (Q)
|
88% |
481
649.3 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
