LENOVO TB350FU
Geekbench AI Score
480
Single Precision Score
479
Half Precision Score
943
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 08:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LENOVO TB350FU |
| Model ID | LENOVO TB350FU |
| Motherboard | tulip_row_wifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (Q)
|
100% |
652
121.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1072
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1066
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
1613
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
637
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
718
8.54 IPS |
|
|
Face Detection (HP)
|
100% |
713
8.48 IPS |
|
|
Face Detection (Q)
|
95% |
1468
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
479
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
486
3.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1479
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1847
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1843
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3707
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
890
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.6 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.1 IPS |
|
|
Text Classification (Q)
|
88% |
483
651.7 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
