Cloud Mobile Stratus C9
Geekbench AI Score
193
Single Precision Score
189
Half Precision Score
285
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 01:34 PM |
| Views | 10 |
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% |
100
18.5 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
100% |
212
39.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
118
1.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
259
4.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
403
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
407
0.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
375
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.18 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.20 IPS |
|
|
Object Detection (Q)
|
83% |
183
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
269
3.20 IPS |
|
|
Face Detection (HP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (Q)
|
95% |
503
6.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
342
2.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
397
3.64 IPS |
|
|
Style Transfer (SP)
|
89% |
660
0.86 IPS |
|
|
Style Transfer (HP)
|
89% |
656
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
917
1.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
234
8.68 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.1 IPS |
|
|
Text Classification (HP)
|
100% |
98
131.4 IPS |
|
|
Text Classification (Q)
|
88% |
182
245.9 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (HP)
|
100% |
169
2.92 IPS |
|
|
Machine Translation (Q)
|
50% |
122
4.33 IPS |
