FCNT FCG01
Geekbench AI Score
278
Single Precision Score
269
Half Precision Score
543
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 12:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | FCNT FCG01 |
| Model ID | FCNT FCG01 |
| Motherboard | FCG01 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 8 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.04 GHz |
| Memory Information | |
|---|---|
| Size | 3.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
100% |
426
79.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
448
7.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
620
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
609
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
1131
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (Q)
|
83% |
392
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
95% |
801
9.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
442
3.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
435
3.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1005
9.21 IPS |
|
|
Style Transfer (SP)
|
89% |
1277
1.66 IPS |
|
|
Style Transfer (HP)
|
89% |
1329
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
2379
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
253
9.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
562
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
136
181.6 IPS |
|
|
Text Classification (HP)
|
100% |
125
167.2 IPS |
|
|
Text Classification (Q)
|
88% |
211
284.2 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (HP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (Q)
|
50% |
117
4.14 IPS |
