LENOVO TB321FU
Geekbench AI Score
2764
Single Precision Score
2800
Half Precision Score
4430
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 07:04 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 | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2155
400.8 IPS |
|
|
Image Classification (HP)
|
100% |
2341
435.4 IPS |
|
|
Image Classification (Q)
|
100% |
3363
625.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3805
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3848
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3797
4.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
9372
11.1 IPS |
|
|
Object Detection (SP)
|
98% |
2143
170.5 IPS |
|
|
Object Detection (HP)
|
98% |
2177
173.2 IPS |
|
|
Object Detection (Q)
|
83% |
3301
266.7 IPS |
|
|
Face Detection (SP)
|
100% |
4155
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
4136
49.1 IPS |
|
|
Face Detection (Q)
|
95% |
7403
88.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4114
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3886
30.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7156
65.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9677
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9639
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19464
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5182
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
99% |
1039
1.39 KIPS |
|
|
Text Classification (Q)
|
88% |
1523
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1705
29.4 IPS |
|
|
Machine Translation (Q)
|
50% |
905
32.1 IPS |
