Lenovo TB320FC
Geekbench AI Score
352
Single Precision Score
353
Half Precision Score
878
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Lenovo TB320FC |
| Model ID | Lenovo TB320FC |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (Q)
|
99% |
592
110.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
637
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
1498
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
87% |
630
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (HP)
|
100% |
551
6.54 IPS |
|
|
Face Detection (Q)
|
97% |
1372
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
459
3.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
462
3.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1218
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
802
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
797
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
2036
2.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
224
8.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
225
8.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
878
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
306
407.8 IPS |
|
|
Text Classification (HP)
|
100% |
307
409.5 IPS |
|
|
Text Classification (Q)
|
91% |
557
749.2 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (Q)
|
57% |
461
11.3 IPS |
