Cloud Mobile Stratus C8
Geekbench AI Score
169
Single Precision Score
169
Half Precision Score
179
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 07 2025 11:33 PM |
| Views | 44 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Cloud Mobile Stratus C8 |
| Model ID | Cloud Mobile Stratus C8 |
| Motherboard | W20_X65 |
| CPU Information | |
|---|---|
| Name | ARM MT6765 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 4 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 2.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (Q)
|
100% |
137
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
215
3.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
398
0.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
297
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.42 IPS |
|
|
Object Detection (HP)
|
100% |
84
6.67 IPS |
|
|
Object Detection (Q)
|
83% |
119
9.65 IPS |
|
|
Face Detection (SP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (HP)
|
100% |
228
2.71 IPS |
|
|
Face Detection (Q)
|
95% |
320
3.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
275
2.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
262
2.40 IPS |
|
|
Style Transfer (SP)
|
89% |
703
0.91 IPS |
|
|
Style Transfer (HP)
|
89% |
701
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
680
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
143
5.31 IPS |
|
|
Text Classification (SP)
|
100% |
79
105.3 IPS |
|
|
Text Classification (HP)
|
100% |
78
104.2 IPS |
|
|
Text Classification (Q)
|
88% |
83
111.4 IPS |
|
|
Machine Translation (SP)
|
100% |
116
2.01 IPS |
|
|
Machine Translation (HP)
|
100% |
114
1.96 IPS |
|
|
Machine Translation (Q)
|
50% |
50
1.76 IPS |
