LENOVO TB361FU
Geekbench AI Score
218
Single Precision Score
322
Half Precision Score
205
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 11 2025 04:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB361FU |
| Model ID | LENOVO TB361FU |
| Motherboard | cava_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 @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (Q)
|
97% |
69
12.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
80
1.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
828
0.97 IPS |
|
|
Pose Estimation (HP)
|
98% |
1924
2.25 IPS |
|
|
Pose Estimation (Q)
|
70% |
1165
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.63 IPS |
|
|
Object Detection (Q)
|
80% |
82
6.65 IPS |
|
|
Face Detection (SP)
|
28% |
41
7.70 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.39 IPS |
|
|
Face Detection (Q)
|
97% |
122
1.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
235
1.81 IPS |
|
|
Depth Estimation (Q)
|
57% |
250
2.73 IPS |
|
|
Style Transfer (SP)
|
100% |
698
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
394
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1762
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
461
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
87
116.2 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (Q)
|
93% |
94
125.5 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (Q)
|
55% |
109
2.88 IPS |
