LENOVO TB321FU
Geekbench AI Score
475
Single Precision Score
20843
Half Precision Score
50895
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
16417
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
41867
7.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
10759
174.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31258
508.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
76932
89.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
398298
466.2 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
14737
1.17 KIPS |
|
|
Object Detection (Q)
|
86% |
20272
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
32406
385.1 IPS |
|
|
Face Detection (Q)
|
97% |
123254
1.47 KIPS |
|
|
Depth Estimation (SP)
|
100% |
598
4.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
58663
452.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
116543
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
978
1.26 IPS |
|
|
Style Transfer (HP)
|
98% |
82610
106.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421640
543.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40077
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103087
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
435
580.4 IPS |
|
|
Text Classification (HP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6854
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2579
67.6 IPS |
