DOOGEE S200 Ultra
Geekbench AI Score
575
Single Precision Score
1320
Half Precision Score
2721
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 04:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | DOOGEE S200 Ultra |
| Model ID | DOOGEE S200 Ultra |
| Motherboard | k6878v1_64_flip |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (HP)
|
100% |
1508
280.5 IPS |
|
|
Image Classification (Q)
|
99% |
4563
851.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2063
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
6672
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
27022
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.8 IPS |
|
|
Object Detection (HP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (Q)
|
86% |
2192
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
1398
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (Q)
|
97% |
9168
109.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
413
3.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
6949
53.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
14380
136.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1826
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
310
0.40 IPS |
|
|
Style Transfer (Q)
|
30% |
394
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
960
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3053
444.7 IPS |
|
|
Text Classification (SP)
|
100% |
75
99.7 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.1 IPS |
|
|
Text Classification (Q)
|
93% |
1336
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (Q)
|
53% |
189
5.43 IPS |
