LENOVO TB321FU
Geekbench AI Score
1507
Single Precision Score
2295
Half Precision Score
1783
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 01:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
837
155.6 IPS |
|
|
Image Classification (HP)
|
100% |
1241
230.8 IPS |
|
|
Image Classification (Q)
|
100% |
1150
213.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3258
52.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2611
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7532
8.79 IPS |
|
|
Pose Estimation (HP)
|
99% |
13692
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13487
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.6 IPS |
|
|
Object Detection (HP)
|
99% |
1304
103.4 IPS |
|
|
Object Detection (Q)
|
87% |
1261
101.3 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5337
63.4 IPS |
|
|
Face Detection (Q)
|
97% |
4212
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3862
29.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5757
44.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
4403
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9701
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20773
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20500
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3400
125.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3190
118.2 IPS |
|
|
Text Classification (SP)
|
35% |
34
328.4 IPS |
|
|
Text Classification (HP)
|
35% |
38
345.9 IPS |
|
|
Text Classification (Q)
|
33% |
29
349.7 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
97% |
681
11.8 IPS |
|
|
Machine Translation (Q)
|
43% |
181
10.3 IPS |
