LENOVO TB351FU
Geekbench AI Score
508
Single Precision Score
487
Half Precision Score
938
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB351FU |
| Model ID | LENOVO TB351FU |
| Motherboard | t808aa |
| 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 | 7.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1610
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
632
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (HP)
|
100% |
724
8.61 IPS |
|
|
Face Detection (Q)
|
95% |
1467
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
871
6.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
582
4.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
1472
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1837
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1839
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3698
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
274
366.4 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.4 IPS |
|
|
Text Classification (Q)
|
88% |
477
644.0 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.05 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
