LGE LM-F100N
Geekbench AI Score
168
Single Precision Score
259
Half Precision Score
263
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 04:55 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LGE LM-F100N |
| Model ID | LGE LM-F100N |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
97% |
163
30.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
275
4.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
176
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
237
0.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
235
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.52 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.63 IPS |
|
|
Object Detection (Q)
|
89% |
115
9.19 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (HP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (Q)
|
97% |
502
5.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
225
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
419
3.23 IPS |
|
|
Depth Estimation (Q)
|
62% |
345
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
396
0.51 IPS |
|
|
Style Transfer (HP)
|
100% |
975
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
993
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
101
3.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
162
5.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
160
5.93 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.3 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.8 IPS |
|
|
Text Classification (Q)
|
91% |
260
349.1 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (Q)
|
57% |
188
4.60 IPS |
