FCNT M06
Geekbench AI Score
189
Single Precision Score
248
Half Precision Score
253
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | December 10 2024 07:55 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | FCNT M06 |
| Model ID | FCNT M06 |
| Motherboard | M06 |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.1 IPS |
|
|
Image Classification (Q)
|
97% |
229
42.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
254
4.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
204
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
307
0.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
306
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.93 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
89% |
159
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
453
5.39 IPS |
|
|
Face Detection (HP)
|
100% |
598
7.10 IPS |
|
|
Face Detection (Q)
|
97% |
555
6.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
513
3.96 IPS |
|
|
Depth Estimation (Q)
|
63% |
417
3.91 IPS |
|
|
Style Transfer (SP)
|
100% |
747
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1352
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1388
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
150
5.54 IPS |
|
|
Text Classification (SP)
|
100% |
51
68.1 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.5 IPS |
|
|
Text Classification (Q)
|
91% |
100
134.4 IPS |
|
|
Machine Translation (SP)
|
100% |
90
1.54 IPS |
|
|
Machine Translation (HP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (Q)
|
57% |
81
1.98 IPS |
