Lenovo TB320FC
Geekbench AI Score
739
Single Precision Score
1013
Half Precision Score
1075
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | WJOhnas |
| Upload Date | August 15 2024 07:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.8 IPS |
|
|
Image Classification (Q)
|
97% |
478
89.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1337
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1345
1.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
1349
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
649
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
1885
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1134
8.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
2509
19.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
2408
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2975
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
6503
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
6518
8.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.2 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.4 IPS |
|
|
Text Classification (Q)
|
91% |
558
750.5 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.54 IPS |
|
|
Machine Translation (Q)
|
57% |
456
11.1 IPS |
