DOOGEE T30S
Geekbench AI Score
332
Single Precision Score
343
Half Precision Score
645
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 06 2026 06:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | DOOGEE T30S |
| Model ID | DOOGEE T30S |
| Motherboard | T606 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
470
87.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
586
9.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
758
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1326
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
437
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
419
4.98 IPS |
|
|
Face Detection (Q)
|
95% |
1100
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
512
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
1201
11.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1581
2.05 IPS |
|
|
Style Transfer (HP)
|
89% |
1587
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3121
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
690
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.2 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.5 IPS |
|
|
Text Classification (Q)
|
88% |
220
297.1 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
50% |
125
4.42 IPS |
