LENOVO TB321FU
Geekbench AI Score
2024
Single Precision Score
3167
Half Precision Score
2480
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 08 2026 01:11 AM |
| 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 | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
1800
334.8 IPS |
|
|
Image Classification (Q)
|
100% |
1727
321.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4737
76.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3833
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10090
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
18954
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18326
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1101
87.3 IPS |
|
|
Object Detection (HP)
|
99% |
1702
135.0 IPS |
|
|
Object Detection (Q)
|
87% |
1549
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
4154
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7394
87.9 IPS |
|
|
Face Detection (Q)
|
97% |
5894
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5269
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7761
60.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
5756
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12834
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26741
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26402
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4569
169.3 IPS |
|
|
Text Classification (SP)
|
35% |
48
470.2 IPS |
|
|
Text Classification (HP)
|
35% |
67
605.4 IPS |
|
|
Text Classification (Q)
|
33% |
50
596.0 IPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
97% |
760
13.1 IPS |
|
|
Machine Translation (Q)
|
43% |
229
13.0 IPS |
