Cloud Mobile Stratus C9
Geekbench AI Score
230
Single Precision Score
230
Half Precision Score
314
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 29 2026 08:01 AM |
| Views | 2 |
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% |
102
18.9 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
100% |
214
39.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
128
2.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
267
4.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
417
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.08 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.11 IPS |
|
|
Object Detection (Q)
|
83% |
208
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (Q)
|
95% |
586
7.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
414
3.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
419
3.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
463
4.24 IPS |
|
|
Style Transfer (SP)
|
89% |
855
1.11 IPS |
|
|
Style Transfer (HP)
|
89% |
858
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
1063
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.50 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.1 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.3 IPS |
|
|
Text Classification (Q)
|
88% |
188
253.2 IPS |
|
|
Machine Translation (SP)
|
100% |
213
3.66 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.64 IPS |
|
|
Machine Translation (Q)
|
50% |
139
4.92 IPS |
