Wingtech TMRV075G
Geekbench AI Score
156
Single Precision Score
219
Half Precision Score
223
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 04:33 AM |
| Views | 8 |
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% |
123
22.9 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
97% |
202
37.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
225
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
175
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
286
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.68 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
89% |
141
11.3 IPS |
|
|
Face Detection (SP)
|
100% |
365
4.33 IPS |
|
|
Face Detection (HP)
|
100% |
507
6.02 IPS |
|
|
Face Detection (Q)
|
97% |
470
5.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
444
3.43 IPS |
|
|
Depth Estimation (Q)
|
63% |
360
3.38 IPS |
|
|
Style Transfer (SP)
|
100% |
599
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1181
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1203
1.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
106
3.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
132
4.91 IPS |
|
|
Text Classification (SP)
|
100% |
44
58.4 IPS |
|
|
Text Classification (HP)
|
100% |
44
59.0 IPS |
|
|
Text Classification (Q)
|
91% |
84
112.5 IPS |
|
|
Machine Translation (SP)
|
100% |
83
1.44 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
