Wingtech TMRV07P5G
Geekbench AI Score
638
Single Precision Score
630
Half Precision Score
1169
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sokolov744 |
| Upload Date | October 11 2025 03:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Wingtech TMRV07P5G |
| Model ID | Wingtech TMRV07P5G |
| Motherboard | S88823AA1 |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (Q)
|
100% |
1227
228.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1352
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1737
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1731
2.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
2989
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
83% |
1120
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
2769
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1350
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1357
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2711
24.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2950
3.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2943
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6801
8.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
747
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
746
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
526
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
133
178.0 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.7 IPS |
|
|
Text Classification (Q)
|
88% |
218
293.4 IPS |
|
|
Machine Translation (SP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
50% |
147
5.22 IPS |
