LENOVO TB321FU
Geekbench AI Score
488
Single Precision Score
487
Half Precision Score
1136
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 15 2025 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.5 IPS |
|
|
Image Classification (Q)
|
99% |
795
148.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
773
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1989
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
87% |
839
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (HP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (Q)
|
97% |
1699
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
617
4.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
618
4.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1539
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1002
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1003
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2555
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1170
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
460
613.8 IPS |
|
|
Text Classification (HP)
|
100% |
463
618.2 IPS |
|
|
Text Classification (Q)
|
91% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
594
14.5 IPS |
