Wingtech TMRV075G
Geekbench AI Score
174
Single Precision Score
280
Half Precision Score
282
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 11 2024 12:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Wingtech TMRV075G |
| Model ID | Wingtech TMRV075G |
| Motherboard | S88523AA1 |
| 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 | 5.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (Q)
|
97% |
202
37.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
198
3.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
176
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
287
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.70 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
89% |
142
11.3 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (HP)
|
100% |
508
6.04 IPS |
|
|
Face Detection (Q)
|
97% |
474
5.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
456
3.52 IPS |
|
|
Depth Estimation (Q)
|
63% |
361
3.39 IPS |
|
|
Style Transfer (SP)
|
100% |
599
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1191
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1205
1.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
108
3.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
131
4.87 IPS |
|
|
Text Classification (SP)
|
100% |
36
47.6 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.2 IPS |
|
|
Text Classification (Q)
|
91% |
301
404.1 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
57% |
248
6.06 IPS |
