LENOVO TB321FU
Geekbench AI Score
1126
Single Precision Score
1658
Half Precision Score
1585
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | TechnoCat |
| Upload Date | April 01 2025 10:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
704
130.9 IPS |
|
|
Image Classification (HP)
|
100% |
696
129.5 IPS |
|
|
Image Classification (Q)
|
96% |
658
122.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1068
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
2557
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (HP)
|
100% |
1113
88.3 IPS |
|
|
Object Detection (Q)
|
87% |
1055
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
2353
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1841
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3760
29.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3094
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6755
8.68 IPS |
|
|
Style Transfer (HP)
|
100% |
10877
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10765
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1555
57.6 IPS |
|
|
Text Classification (SP)
|
100% |
441
589.2 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.2 IPS |
|
|
Text Classification (Q)
|
91% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
577
14.1 IPS |
