Wingtech T Phone
Geekbench AI Score
142
Single Precision Score
196
Half Precision Score
190
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 15 2024 05:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6833 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Wingtech T Phone |
| Model ID | Wingtech T Phone |
| Motherboard | S98317AA1T |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
99% |
149
27.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
214
3.47 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% |
70
5.59 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.23 IPS |
|
|
Object Detection (Q)
|
83% |
108
8.73 IPS |
|
|
Face Detection (SP)
|
100% |
270
3.20 IPS |
|
|
Face Detection (HP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (Q)
|
97% |
406
4.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
165
1.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
173
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
331
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
460
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
456
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
82
3.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.58 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.4 IPS |
|
|
Text Classification (HP)
|
100% |
153
203.6 IPS |
|
|
Text Classification (Q)
|
91% |
252
338.8 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (Q)
|
57% |
181
4.43 IPS |
