LENOVO Lenovo YT-K606F
Geekbench AI Score
1126
Single Precision Score
1144
Half Precision Score
2084
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 04:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LENOVO Lenovo YT-K606F |
| Model ID | LENOVO Lenovo YT-K606F |
| Motherboard | kona |
| Governor | schedutil |
| 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
539
100.3 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.3 IPS |
|
|
Image Classification (Q)
|
100% |
1507
280.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1708
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2433
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2416
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3827
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
538
42.6 IPS |
|
|
Object Detection (Q)
|
83% |
1428
115.3 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
3440
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1662
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2069
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3469
31.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4246
5.51 IPS |
|
|
Style Transfer (HP)
|
89% |
4250
5.52 IPS |
|
|
Style Transfer (Q)
|
98% |
8962
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1166
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2081
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
588
785.0 IPS |
|
|
Text Classification (HP)
|
100% |
586
781.7 IPS |
|
|
Text Classification (Q)
|
88% |
941
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
526
18.7 IPS |
