LENOVO TB321FU
Geekbench AI Score
2721
Single Precision Score
2731
Half Precision Score
4391
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 01:19 PM |
| Views | 2 |
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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
2379
442.4 IPS |
|
|
Image Classification (Q)
|
100% |
3371
627.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2682
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3986
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3985
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3801
4.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
9447
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
2153
171.3 IPS |
|
|
Object Detection (HP)
|
98% |
1963
156.2 IPS |
|
|
Object Detection (Q)
|
83% |
3018
243.8 IPS |
|
|
Face Detection (SP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4153
49.3 IPS |
|
|
Face Detection (Q)
|
95% |
7363
87.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3887
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4163
32.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6927
63.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9910
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9212
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19922
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2003
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5088
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1451
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (Q)
|
50% |
928
32.9 IPS |
