Wingtech TMRV06P5G
Geekbench AI Score
144
Single Precision Score
198
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 29 2025 05:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6833 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Wingtech TMRV06P5G |
| Model ID | Wingtech TMRV06P5G |
| Motherboard | S98121CA2 |
| CPU Information | |
|---|---|
| Name | ARM MT6833 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
89
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
102
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
101
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
71
5.64 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.03 IPS |
|
|
Object Detection (Q)
|
83% |
110
8.86 IPS |
|
|
Face Detection (SP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (HP)
|
100% |
403
4.79 IPS |
|
|
Face Detection (Q)
|
97% |
359
4.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
164
1.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
173
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
332
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
460
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
457
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83
3.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
125
4.63 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.5 IPS |
|
|
Text Classification (HP)
|
100% |
153
203.9 IPS |
|
|
Text Classification (Q)
|
91% |
253
340.0 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
57% |
182
4.44 IPS |
