DOOGEE T30Pro
Geekbench AI Score
450
Single Precision Score
446
Half Precision Score
920
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 08:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
213
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1007
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1596
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (Q)
|
83% |
625
50.5 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (Q)
|
95% |
1449
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
664
5.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
634
4.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1468
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1725
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1646
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3640
4.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
881
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.5 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (Q)
|
88% |
485
654.0 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (Q)
|
50% |
298
10.6 IPS |
