DOOGEE T30Pro
Geekbench AI Score
135
Single Precision Score
188
Half Precision Score
170
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 04:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | DOOGEE T30Pro |
| Model ID | DOOGEE T30Pro |
| Motherboard | M100 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
152
2.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
92
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
108
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
66
5.21 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.70 IPS |
|
|
Object Detection (Q)
|
83% |
64
5.17 IPS |
|
|
Face Detection (SP)
|
100% |
160
1.90 IPS |
|
|
Face Detection (HP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (Q)
|
97% |
245
2.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
174
1.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
228
1.76 IPS |
|
|
Depth Estimation (Q)
|
62% |
184
1.75 IPS |
|
|
Style Transfer (SP)
|
100% |
351
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
489
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
489
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
89
3.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
134
4.96 IPS |
|
|
Text Classification (SP)
|
100% |
152
202.5 IPS |
|
|
Text Classification (HP)
|
100% |
151
201.0 IPS |
|
|
Text Classification (Q)
|
91% |
247
332.4 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (Q)
|
57% |
170
4.16 IPS |
