LENOVO TB336FU
Geekbench AI Score
529
Single Precision Score
533
Half Precision Score
1046
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB336FU |
| Model ID | LENOVO TB336FU |
| Motherboard | sycamore_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 @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
250
46.4 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.6 IPS |
|
|
Image Classification (Q)
|
100% |
729
135.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1170
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1127
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1812
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (Q)
|
83% |
708
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (Q)
|
95% |
1646
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
748
5.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
868
6.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1680
15.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1937
2.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1928
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
4138
5.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1000
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.6 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.4 IPS |
|
|
Text Classification (Q)
|
88% |
543
732.4 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
