LENOVO TB330FU
Geekbench AI Score
354
Single Precision Score
367
Half Precision Score
747
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | February 05 2026 04:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB330FU |
| Model ID | LENOVO TB330FU |
| Motherboard | barley_row_wifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 7.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
100% |
555
103.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
643
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
817
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
810
0.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1530
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
517
41.8 IPS |
|
|
Face Detection (SP)
|
100% |
453
5.38 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (Q)
|
95% |
1185
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
593
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
600
4.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
1373
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1641
2.13 IPS |
|
|
Style Transfer (HP)
|
89% |
1643
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3429
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
853
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.6 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.5 IPS |
|
|
Text Classification (Q)
|
88% |
264
356.6 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.44 IPS |
