LENOVO TB321FU
Geekbench AI Score
3006
Single Precision Score
2966
Half Precision Score
4860
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 02:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LENOVO TB321FU |
| Model ID | LENOVO TB321FU |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2389
444.3 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.9 IPS |
|
|
Image Classification (Q)
|
100% |
3892
723.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4379
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4331
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4246
4.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
9927
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2305
183.4 IPS |
|
|
Object Detection (HP)
|
98% |
2345
186.6 IPS |
|
|
Object Detection (Q)
|
83% |
3658
295.5 IPS |
|
|
Face Detection (SP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
4229
50.2 IPS |
|
|
Face Detection (Q)
|
95% |
8079
96.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4369
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4425
34.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7577
69.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10595
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10407
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20781
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2287
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5650
209.4 IPS |
|
|
Text Classification (SP)
|
100% |
1070
1.43 KIPS |
|
|
Text Classification (HP)
|
99% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
88% |
1724
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1801
31.0 IPS |
|
|
Machine Translation (Q)
|
50% |
960
34.1 IPS |
