LENOVO TB322FC
Geekbench ML Score
1910
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 03:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB322FC |
| Model ID | LENOVO TB322FC |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1066
199.6 IPS |
|
|
Image Classification (F16)
|
100% |
1067
199.7 IPS |
|
|
Image Classification (I8)
|
97% |
1456
272.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1395
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1402
23.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1756
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2023
2.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
1995
2.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
8014
9.70 IPS |
|
|
Object Detection (F32)
|
100% |
1091
81.5 IPS |
|
|
Object Detection (F16)
|
100% |
1092
81.5 IPS |
|
|
Object Detection (I8)
|
61% |
2156
161.0 IPS |
|
|
Face Detection (F32)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (F16)
|
100% |
2216
26.4 IPS |
|
|
Face Detection (I8)
|
86% |
4099
48.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2133
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2117
16.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3996
31.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3415
4.49 IPS |
|
|
Style Transfer (F16)
|
100% |
3277
4.31 IPS |
|
|
Style Transfer (I8)
|
98% |
9355
12.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1204
43.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1225
43.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
4234
151.2 IPS |
|
|
Text Classification (F32)
|
100% |
937
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
977
1.40 KIPS |
|
|
Text Classification (I8)
|
92% |
677
973.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1901
35.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1871
34.4 IPS |
|
|
Machine Translation (I8)
|
64% |
1088
20.0 IPS |
