LENOVO TB321FU
Geekbench AI Score
2077
Single Precision Score
3262
Half Precision Score
2545
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 10:51 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1212
225.4 IPS |
|
|
Image Classification (HP)
|
100% |
1842
342.6 IPS |
|
|
Image Classification (Q)
|
100% |
1659
308.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2696
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4621
74.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4577
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
18699
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18545
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (HP)
|
99% |
1808
143.4 IPS |
|
|
Object Detection (Q)
|
87% |
1626
130.5 IPS |
|
|
Face Detection (SP)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7168
85.2 IPS |
|
|
Face Detection (Q)
|
97% |
5685
67.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5320
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7782
60.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
6017
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13205
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28179
36.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28087
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2798
103.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4524
167.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4360
161.6 IPS |
|
|
Text Classification (SP)
|
35% |
49
480.8 IPS |
|
|
Text Classification (HP)
|
35% |
74
676.8 IPS |
|
|
Text Classification (Q)
|
33% |
50
600.9 IPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
97% |
902
15.6 IPS |
|
|
Machine Translation (Q)
|
43% |
238
13.5 IPS |
