LENOVO TB321FU
Geekbench AI Score
503
Single Precision Score
21043
Half Precision Score
51284
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | TechnoCat |
| Upload Date | April 01 2025 10:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
325
60.5 IPS |
|
|
Image Classification (HP)
|
100% |
16752
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
42065
7.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
10875
176.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
31270
508.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
77142
90.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
398999
467.0 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
14848
1.18 KIPS |
|
|
Object Detection (Q)
|
86% |
20485
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (HP)
|
100% |
33041
392.6 IPS |
|
|
Face Detection (Q)
|
97% |
128315
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
636
4.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
58959
454.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
117594
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1020
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
82407
106.3 IPS |
|
|
Style Transfer (Q)
|
98% |
421899
544.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40870
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103268
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
442
590.3 IPS |
|
|
Text Classification (HP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6854
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2598
68.1 IPS |
