LENOVO Lenovo TB-Q706F
Geekbench ML Score
395
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 03:19 AM |
| Views | 2 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
387
41.5 IPS |
|
|
Image Classification (F16)
|
100% |
282
30.2 IPS |
|
|
Image Classification (I8)
|
81% |
198
21.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
575
3.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
625
3.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
866
5.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
262
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
261
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
242
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
342
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
356
12.5 IPS |
|
|
Object Detection (I8)
|
52% |
275
9.67 IPS |
|
|
Face Detection (F32)
|
100% |
578
6.64 IPS |
|
|
Face Detection (F16)
|
100% |
509
5.85 IPS |
|
|
Face Detection (I8)
|
75% |
509
5.85 IPS |
|
|
Text Classification (F32)
|
100% |
334
132.1 IPS |
|
|
Text Classification (F16)
|
100% |
330
130.7 IPS |
|
|
Machine Translation (F32)
|
100% |
596
91.8 IPS |
|
|
Machine Translation (F16)
|
100% |
597
92.0 IPS |
