Cloud Mobile Stratus C9
Geekbench AI Score
224
Single Precision Score
223
Half Precision Score
312
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 02:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Cloud Mobile Stratus C9 |
| Model ID | Cloud Mobile Stratus C9 |
| Motherboard | W26_X66 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores @ 1.70 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (Q)
|
100% |
211
39.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
263
4.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
494
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
417
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
99
7.83 IPS |
|
|
Object Detection (HP)
|
100% |
99
7.83 IPS |
|
|
Object Detection (Q)
|
83% |
205
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
310
3.68 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.68 IPS |
|
|
Face Detection (Q)
|
95% |
577
6.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
413
3.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
407
3.13 IPS |
|
|
Depth Estimation (Q)
|
64% |
462
4.23 IPS |
|
|
Style Transfer (SP)
|
89% |
842
1.09 IPS |
|
|
Style Transfer (HP)
|
89% |
845
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
1063
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
213
7.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.48 IPS |
|
|
Text Classification (SP)
|
100% |
116
154.6 IPS |
|
|
Text Classification (HP)
|
100% |
115
152.9 IPS |
|
|
Text Classification (Q)
|
88% |
190
255.6 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (HP)
|
100% |
205
3.53 IPS |
|
|
Machine Translation (Q)
|
50% |
136
4.84 IPS |
