Wingtech TMRV07P5G
Geekbench AI Score
355
Single Precision Score
624
Half Precision Score
572
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sokolov744 |
| Upload Date | October 11 2025 03:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
99% |
446
83.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
677
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1471
1.72 IPS |
|
|
Pose Estimation (HP)
|
99% |
2782
3.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
2742
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
99% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
85% |
344
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1172
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
837
6.45 IPS |
|
|
Depth Estimation (HP)
|
98% |
1671
12.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
1386
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1688
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3748
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3721
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
389
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
35% |
13
128.5 IPS |
|
|
Text Classification (HP)
|
35% |
23
211.3 IPS |
|
|
Text Classification (Q)
|
35% |
23
210.0 IPS |
|
|
Machine Translation (SP)
|
100% |
166
2.86 IPS |
|
|
Machine Translation (HP)
|
97% |
189
3.28 IPS |
|
|
Machine Translation (Q)
|
64% |
152
3.13 IPS |
