LENOVO TB330FU
Geekbench AI Score
181
Single Precision Score
327
Half Precision Score
272
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | zeroc |
| Upload Date | August 02 2025 01:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
100
18.7 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
97% |
183
34.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
311
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
640
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1365
1.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
1347
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
94
7.44 IPS |
|
|
Object Detection (HP)
|
99% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
83% |
190
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.43 IPS |
|
|
Face Detection (Q)
|
96% |
669
7.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
383
2.95 IPS |
|
|
Depth Estimation (HP)
|
98% |
768
5.93 IPS |
|
|
Depth Estimation (Q)
|
62% |
608
5.78 IPS |
|
|
Style Transfer (SP)
|
100% |
958
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1948
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1915
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
496
18.4 IPS |
|
|
Text Classification (SP)
|
35% |
7
69.0 IPS |
|
|
Text Classification (HP)
|
29% |
5
90.8 IPS |
|
|
Text Classification (Q)
|
32% |
7
94.2 IPS |
|
|
Machine Translation (SP)
|
100% |
163
2.80 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (Q)
|
43% |
58
3.35 IPS |
