DOOGEE Fire 6
Geekbench AI Score
129
Single Precision Score
138
Half Precision Score
148
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 10:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | DOOGEE Fire 6 |
| Model ID | DOOGEE Fire 6 |
| Motherboard | ums9230_6h10 |
| 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% |
80
14.9 IPS |
|
|
Image Classification (HP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (Q)
|
99% |
103
19.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
145
2.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
258
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
432
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
40
3.15 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.15 IPS |
|
|
Object Detection (Q)
|
87% |
79
6.33 IPS |
|
|
Face Detection (SP)
|
100% |
269
3.19 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
203
2.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
98% |
288
2.23 IPS |
|
|
Depth Estimation (Q)
|
66% |
333
2.94 IPS |
|
|
Style Transfer (SP)
|
100% |
323
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
178
0.23 IPS |
|
|
Style Transfer (Q)
|
98% |
590
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
211
7.84 IPS |
|
|
Text Classification (SP)
|
100% |
19
25.7 IPS |
|
|
Text Classification (HP)
|
100% |
57
76.2 IPS |
|
|
Text Classification (Q)
|
93% |
24
32.2 IPS |
|
|
Machine Translation (SP)
|
100% |
69
1.20 IPS |
|
|
Machine Translation (HP)
|
100% |
100
1.72 IPS |
|
|
Machine Translation (Q)
|
55% |
50
1.31 IPS |
