LENOVO TB321FU
Geekbench AI Score
460
Single Precision Score
458
Half Precision Score
1053
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 11:00 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
293
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
99% |
782
145.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1948
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
87% |
815
65.3 IPS |
|
|
Face Detection (SP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (HP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (Q)
|
97% |
1654
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
592
4.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
595
4.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
1446
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
948
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
910
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2183
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1047
38.8 IPS |
|
|
Text Classification (SP)
|
100% |
384
512.5 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.1 IPS |
|
|
Text Classification (Q)
|
91% |
632
849.0 IPS |
|
|
Machine Translation (SP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
511
12.5 IPS |
