LENOVO TB321FU
Geekbench AI Score
2842
Single Precision Score
2803
Half Precision Score
4526
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 07 2026 12:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2170
403.6 IPS |
|
|
Image Classification (HP)
|
100% |
2104
391.2 IPS |
|
|
Image Classification (Q)
|
100% |
3776
702.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2623
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2631
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4350
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4073
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3895
4.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
9033
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1956
155.6 IPS |
|
|
Object Detection (HP)
|
98% |
2123
169.0 IPS |
|
|
Object Detection (Q)
|
83% |
3392
274.0 IPS |
|
|
Face Detection (SP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
4264
50.7 IPS |
|
|
Face Detection (Q)
|
95% |
7375
88.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4318
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4320
33.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6999
64.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10276
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9858
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19551
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5116
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
996
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1549
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1836
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1727
29.8 IPS |
|
|
Machine Translation (Q)
|
50% |
897
31.9 IPS |
