FuriLabs FLX1s
Geekbench ML Score
185
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 29 2026 02:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | FuriLabs FLX1s |
| Model ID | FuriLabs FLX1s |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | ARM MT6877 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
169
18.1 IPS |
|
|
Image Classification (F16)
|
100% |
172
18.4 IPS |
|
|
Image Classification (I8)
|
81% |
127
13.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
307
1.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
307
1.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
241
1.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
100
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
100
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
38
0.16 IPS |
|
|
Object Detection (F32)
|
100% |
168
5.88 IPS |
|
|
Object Detection (F16)
|
100% |
121
4.26 IPS |
|
|
Object Detection (I8)
|
52% |
155
5.44 IPS |
|
|
Face Detection (F32)
|
100% |
285
3.27 IPS |
|
|
Face Detection (F16)
|
100% |
285
3.28 IPS |
|
|
Face Detection (I8)
|
75% |
192
2.20 IPS |
|
|
Text Classification (F32)
|
100% |
332
131.5 IPS |
|
|
Text Classification (F16)
|
100% |
330
130.7 IPS |
|
|
Machine Translation (F32)
|
100% |
277
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
273
42.0 IPS |
