Coosea SL219A
Geekbench AI Score
182
Single Precision Score
195
Half Precision Score
190
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | November 07 2025 01:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Coosea SL219A |
| Model ID | Coosea SL219A |
| Motherboard | SL219A |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.5 IPS |
|
|
Image Classification (Q)
|
100% |
91
16.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
118
1.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
156
2.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
424
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
434
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.75 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.78 IPS |
|
|
Object Detection (Q)
|
83% |
123
9.97 IPS |
|
|
Face Detection (SP)
|
100% |
195
2.32 IPS |
|
|
Face Detection (HP)
|
100% |
265
3.14 IPS |
|
|
Face Detection (Q)
|
95% |
374
4.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
373
2.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
404
3.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
347
3.18 IPS |
|
|
Style Transfer (SP)
|
89% |
1153
1.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1078
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
885
1.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
195
7.24 IPS |
|
|
Text Classification (SP)
|
100% |
96
127.8 IPS |
|
|
Text Classification (HP)
|
100% |
90
120.2 IPS |
|
|
Text Classification (Q)
|
88% |
81
109.5 IPS |
|
|
Machine Translation (SP)
|
100% |
142
2.44 IPS |
|
|
Machine Translation (HP)
|
100% |
136
2.34 IPS |
|
|
Machine Translation (Q)
|
50% |
46
1.62 IPS |
