LG V60 ThinQ 5G LGE LM-V600
Geekbench AI Score
532
Single Precision Score
812
Half Precision Score
831
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | December 05 2024 04:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
359
66.8 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.8 IPS |
|
|
Image Classification (Q)
|
96% |
483
90.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
951
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
717
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
673
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
670
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (Q)
|
87% |
458
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
928
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
2096
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
848
6.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
1628
12.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1354
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1614
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3900
5.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3892
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
920
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
227
302.5 IPS |
|
|
Text Classification (HP)
|
100% |
226
302.2 IPS |
|
|
Text Classification (Q)
|
91% |
387
519.7 IPS |
|
|
Machine Translation (SP)
|
100% |
367
6.31 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.96 IPS |
