DOOGEE S200 X
Geekbench AI Score
588
Single Precision Score
587
Half Precision Score
1220
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 08 2025 02:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6877 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | DOOGEE S200 X |
| Model ID | DOOGEE S200 X |
| Motherboard | k6877v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6877 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
100% |
843
156.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
964
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1062
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1991
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
83% |
826
66.8 IPS |
|
|
Face Detection (SP)
|
100% |
802
9.53 IPS |
|
|
Face Detection (HP)
|
100% |
816
9.70 IPS |
|
|
Face Detection (Q)
|
95% |
1986
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1220
9.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
1172
9.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1840
16.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2003
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2038
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4728
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1097
40.6 IPS |
|
|
Text Classification (SP)
|
100% |
341
455.6 IPS |
|
|
Text Classification (HP)
|
100% |
337
449.5 IPS |
|
|
Text Classification (Q)
|
88% |
716
965.0 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (Q)
|
50% |
404
14.3 IPS |
