LENOVO Lenovo TB-Q706F
Geekbench ML Score
1340
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 03:21 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | LENOVO Lenovo TB-Q706F |
| Model ID | LENOVO Lenovo TB-Q706F |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
916
98.2 IPS |
|
|
Image Classification (F16)
|
100% |
1603
171.7 IPS |
|
|
Image Classification (I8)
|
80% |
1405
150.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2540
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4119
25.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
3955
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1291
5.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
2261
9.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
2273
9.20 IPS |
|
|
Object Detection (F32)
|
100% |
604
21.2 IPS |
|
|
Object Detection (F16)
|
99% |
714
25.1 IPS |
|
|
Object Detection (I8)
|
53% |
687
24.1 IPS |
|
|
Face Detection (F32)
|
100% |
1829
21.0 IPS |
|
|
Face Detection (F16)
|
97% |
3107
35.7 IPS |
|
|
Face Detection (I8)
|
76% |
2778
31.9 IPS |
|
|
Text Classification (F32)
|
100% |
512
202.4 IPS |
|
|
Text Classification (F16)
|
98% |
548
216.7 IPS |
|
|
Machine Translation (F32)
|
100% |
592
91.2 IPS |
|
|
Machine Translation (F16)
|
100% |
592
91.3 IPS |
