Cloud Mobile Stratus C8
Geekbench AI Score
209
Single Precision Score
204
Half Precision Score
219
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 02:49 AM |
| Views | 3 |
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% |
124
23.1 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
100% |
189
35.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
288
4.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
476
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
339
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.26 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.62 IPS |
|
|
Object Detection (Q)
|
83% |
146
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.95 IPS |
|
|
Face Detection (HP)
|
100% |
254
3.01 IPS |
|
|
Face Detection (Q)
|
95% |
398
4.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
354
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
351
2.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
329
3.01 IPS |
|
|
Style Transfer (SP)
|
89% |
834
1.08 IPS |
|
|
Style Transfer (HP)
|
89% |
801
1.04 IPS |
|
|
Style Transfer (Q)
|
98% |
774
1.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
173
6.43 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.1 IPS |
|
|
Text Classification (HP)
|
100% |
99
131.9 IPS |
|
|
Text Classification (Q)
|
88% |
98
132.4 IPS |
|
|
Machine Translation (SP)
|
100% |
144
2.47 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.37 IPS |
|
|
Machine Translation (Q)
|
50% |
55
1.94 IPS |
