LENOVO TB330FU
Geekbench AI Score
254
Single Precision Score
254
Half Precision Score
508
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 01:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8786V/N |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LENOVO TB330FU |
| Model ID | LENOVO TB330FU |
| Motherboard | barley_row_wifi |
| CPU Information | |
|---|---|
| Name | ARM MT8786V/N |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
117
21.8 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
100% |
343
63.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
455
7.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
662
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
625
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1164
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (Q)
|
83% |
343
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
326
3.87 IPS |
|
|
Face Detection (HP)
|
100% |
299
3.55 IPS |
|
|
Face Detection (Q)
|
95% |
800
9.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
386
2.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
378
2.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
907
8.31 IPS |
|
|
Style Transfer (SP)
|
89% |
1266
1.64 IPS |
|
|
Style Transfer (HP)
|
89% |
1328
1.72 IPS |
|
|
Style Transfer (Q)
|
98% |
2721
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
218
8.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
586
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.5 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.6 IPS |
|
|
Text Classification (Q)
|
88% |
157
211.7 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
50% |
103
3.65 IPS |
