COOLFAN C107
Geekbench AI Score
226
Single Precision Score
227
Half Precision Score
451
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 08:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | COOLFAN C107 |
| Model ID | COOLFAN C107 |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.4 IPS |
|
|
Image Classification (Q)
|
100% |
371
69.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
362
5.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
535
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
523
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
1123
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.46 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.52 IPS |
|
|
Object Detection (Q)
|
83% |
333
26.9 IPS |
|
|
Face Detection (SP)
|
100% |
270
3.20 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (Q)
|
95% |
765
9.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
314
2.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
310
2.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
928
8.50 IPS |
|
|
Style Transfer (SP)
|
89% |
1056
1.37 IPS |
|
|
Style Transfer (HP)
|
89% |
1065
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1997
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
548
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
122
163.4 IPS |
|
|
Text Classification (HP)
|
100% |
119
159.3 IPS |
|
|
Text Classification (Q)
|
88% |
135
181.8 IPS |
|
|
Machine Translation (SP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (HP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (Q)
|
50% |
67
2.39 IPS |
