FOSSiBOT F102
Geekbench ML Score
171
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 26 2024 05:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | FOSSiBOT F102 |
| Model ID | FOSSiBOT F102 |
| Motherboard | k6789v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 11.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
94
17.5 IPS |
|
|
Image Classification (F16)
|
100% |
163
30.5 IPS |
|
|
Image Classification (I8)
|
97% |
154
28.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
104
1.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
181
3.02 IPS |
|
|
Image Segmentation (I8)
|
98% |
230
3.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
89
0.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
104
0.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
104
0.13 IPS |
|
|
Object Detection (F32)
|
100% |
59
4.42 IPS |
|
|
Object Detection (F16)
|
100% |
100
7.50 IPS |
|
|
Object Detection (I8)
|
62% |
88
6.56 IPS |
|
|
Face Detection (F32)
|
100% |
217
2.59 IPS |
|
|
Face Detection (F16)
|
98% |
316
3.76 IPS |
|
|
Face Detection (I8)
|
86% |
313
3.72 IPS |
|
|
Depth Estimation (F32)
|
100% |
171
1.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
220
1.70 IPS |
|
|
Depth Estimation (I8)
|
95% |
220
1.70 IPS |
|
|
Style Transfer (F32)
|
100% |
339
0.45 IPS |
|
|
Style Transfer (F16)
|
100% |
477
0.63 IPS |
|
|
Style Transfer (I8)
|
98% |
476
0.63 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
93
3.33 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
137
4.88 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
142
5.07 IPS |
|
|
Text Classification (F32)
|
100% |
145
208.3 IPS |
|
|
Text Classification (F16)
|
100% |
145
208.0 IPS |
|
|
Text Classification (I8)
|
92% |
235
337.5 IPS |
|
|
Machine Translation (F32)
|
100% |
267
4.92 IPS |
|
|
Machine Translation (F16)
|
100% |
266
4.90 IPS |
|
|
Machine Translation (I8)
|
64% |
242
4.44 IPS |
