Lenovo TB320FC
Geekbench AI Score
335
Single Precision Score
335
Half Precision Score
835
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | WJOhnas |
| Upload Date | August 15 2024 07:08 PM |
| Views | 7 |
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% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
97% |
556
103.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
593
9.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
349
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1409
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
89% |
601
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
529
6.29 IPS |
|
|
Face Detection (HP)
|
100% |
524
6.23 IPS |
|
|
Face Detection (Q)
|
97% |
1280
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
446
3.44 IPS |
|
|
Depth Estimation (HP)
|
100% |
449
3.46 IPS |
|
|
Depth Estimation (Q)
|
73% |
1261
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
761
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
762
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
1951
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
217
8.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
827
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.5 IPS |
|
|
Text Classification (HP)
|
100% |
287
382.8 IPS |
|
|
Text Classification (Q)
|
91% |
524
704.9 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
57% |
433
10.6 IPS |
