DOOGEE T30S
Geekbench AI Score
122
Single Precision Score
244
Half Precision Score
191
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 06 2026 06:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
72
13.4 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
97% |
144
26.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
96
1.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
203
3.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
759
0.89 IPS |
|
|
Pose Estimation (Q)
|
95% |
742
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
67
5.32 IPS |
|
|
Object Detection (HP)
|
99% |
142
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
133
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (HP)
|
100% |
559
6.64 IPS |
|
|
Face Detection (Q)
|
96% |
499
5.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
290
2.23 IPS |
|
|
Depth Estimation (HP)
|
98% |
591
4.57 IPS |
|
|
Depth Estimation (Q)
|
62% |
467
4.44 IPS |
|
|
Style Transfer (SP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1429
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1412
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
172
6.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
324
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
315
11.7 IPS |
|
|
Text Classification (SP)
|
35% |
4
38.9 IPS |
|
|
Text Classification (HP)
|
35% |
8
74.0 IPS |
|
|
Text Classification (Q)
|
31% |
5
72.7 IPS |
|
|
Machine Translation (SP)
|
100% |
123
2.12 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.05 IPS |
|
|
Machine Translation (Q)
|
43% |
44
2.53 IPS |
