LENOVO TB321FU
Geekbench AI Score
337
Single Precision Score
338
Half Precision Score
748
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 01:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
99% |
503
93.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
515
8.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
1326
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
87% |
550
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
504
5.98 IPS |
|
|
Face Detection (HP)
|
100% |
506
6.02 IPS |
|
|
Face Detection (Q)
|
97% |
1152
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
453
3.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
1010
9.16 IPS |
|
|
Style Transfer (SP)
|
100% |
738
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
734
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
1743
2.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
236
8.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
783
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.5 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.1 IPS |
|
|
Text Classification (Q)
|
91% |
474
637.5 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
57% |
386
9.44 IPS |
