DOOGEE T30Pro
Geekbench AI Score
459
Single Precision Score
451
Half Precision Score
922
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 01:30 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 | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.1 IPS |
|
|
Image Classification (Q)
|
100% |
646
120.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
693
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1034
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1010
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1601
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
83% |
631
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.55 IPS |
|
|
Face Detection (HP)
|
100% |
635
7.54 IPS |
|
|
Face Detection (Q)
|
95% |
1452
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
618
4.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
644
4.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1470
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1681
2.18 IPS |
|
|
Style Transfer (HP)
|
89% |
1704
2.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3636
4.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
886
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
268
358.3 IPS |
|
|
Text Classification (HP)
|
100% |
265
354.0 IPS |
|
|
Text Classification (Q)
|
88% |
475
640.0 IPS |
|
|
Machine Translation (SP)
|
100% |
436
7.52 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
50% |
301
10.7 IPS |
