LENOVO TB321FU
Geekbench AI Score
1149
Single Precision Score
1749
Half Precision Score
1622
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 15 2025 03:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
728
135.3 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (Q)
|
96% |
738
137.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1086
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
2554
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (Q)
|
87% |
1004
80.6 IPS |
|
|
Face Detection (SP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
2739
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1823
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3719
28.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3061
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6748
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10917
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10674
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1564
57.9 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.8 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.5 IPS |
|
|
Text Classification (Q)
|
91% |
743
998.0 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
593
14.5 IPS |
