LG V60 ThinQ 5G LGE LM-V600
Geekbench AI Score
515
Single Precision Score
220
Half Precision Score
2111
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | December 05 2024 05:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
585
108.9 IPS |
|
|
Image Classification (HP)
|
100% |
953
177.3 IPS |
|
|
Image Classification (Q)
|
97% |
1530
285.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1377
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1967
2.30 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
6.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
11892
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
85% |
1803
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.59 IPS |
|
|
Face Detection (Q)
|
97% |
4041
48.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
558
4.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
323
2.49 IPS |
|
|
Depth Estimation (Q)
|
63% |
7097
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
846
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
4186
5.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
56% |
1616
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5994
222.1 IPS |
|
|
Text Classification (SP)
|
71% |
14
20.2 IPS |
|
|
Text Classification (HP)
|
100% |
227
303.5 IPS |
|
|
Text Classification (Q)
|
93% |
241
323.8 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.31 IPS |
|
|
Machine Translation (Q)
|
54% |
225
6.35 IPS |
