LENOVO TB321FU
Geekbench AI Score
485
Single Precision Score
483
Half Precision Score
1127
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | TechnoCat |
| Upload Date | April 01 2025 10:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LENOVO TB321FU |
| Model ID | LENOVO TB321FU |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.3 IPS |
|
|
Image Classification (Q)
|
99% |
805
150.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
782
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1980
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
87% |
835
67.0 IPS |
|
|
Face Detection (SP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (HP)
|
100% |
700
8.32 IPS |
|
|
Face Detection (Q)
|
97% |
1686
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
614
4.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
609
4.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1519
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
986
1.27 IPS |
|
|
Style Transfer (HP)
|
100% |
981
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
2523
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1125
41.7 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.3 IPS |
|
|
Text Classification (HP)
|
100% |
448
597.8 IPS |
|
|
Text Classification (Q)
|
91% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
586
14.3 IPS |
