LG V60 ThinQ 5G LGE LM-V600
Geekbench AI Score
257
Single Precision Score
258
Half Precision Score
1018
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | December 05 2024 06:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LGE LM-V600 |
| Model ID | LGE LM-V600 |
| Motherboard | kona |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (Q)
|
96% |
1117
208.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1335
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
270
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
271
0.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
13435
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (Q)
|
84% |
1463
118.0 IPS |
|
|
Face Detection (SP)
|
100% |
387
4.59 IPS |
|
|
Face Detection (HP)
|
100% |
392
4.65 IPS |
|
|
Face Detection (Q)
|
97% |
2331
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
326
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
327
2.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
5900
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
544
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
545
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
19050
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
605
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.2 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.0 IPS |
|
|
Text Classification (Q)
|
93% |
258
347.1 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.41 IPS |
