LENOVO TB321FU
Geekbench AI Score
3019
Single Precision Score
3013
Half Precision Score
4755
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 03:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2314
430.4 IPS |
|
|
Image Classification (HP)
|
100% |
2454
456.3 IPS |
|
|
Image Classification (Q)
|
100% |
3194
593.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2768
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4363
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4433
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4419
5.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
10243
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2278
181.3 IPS |
|
|
Object Detection (HP)
|
98% |
2222
176.8 IPS |
|
|
Object Detection (Q)
|
83% |
3540
286.0 IPS |
|
|
Face Detection (SP)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (Q)
|
95% |
7565
90.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4607
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4491
34.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7977
73.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10708
13.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10996
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21234
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5757
213.3 IPS |
|
|
Text Classification (SP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (HP)
|
99% |
1031
1.38 KIPS |
|
|
Text Classification (Q)
|
88% |
1590
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (Q)
|
50% |
999
35.5 IPS |
