LENOVO TB321FU
Geekbench AI Score
2848
Single Precision Score
2844
Half Precision Score
4584
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 07:02 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% |
2418
449.6 IPS |
|
|
Image Classification (HP)
|
100% |
2438
453.4 IPS |
|
|
Image Classification (Q)
|
100% |
3739
695.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3993
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4041
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3971
4.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
9733
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1900
151.2 IPS |
|
|
Object Detection (HP)
|
98% |
2172
172.8 IPS |
|
|
Object Detection (Q)
|
83% |
3031
244.8 IPS |
|
|
Face Detection (SP)
|
100% |
4168
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (Q)
|
95% |
7564
90.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4304
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4276
33.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7304
66.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9840
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9452
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19491
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2227
82.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2226
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5401
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
1043
1.39 KIPS |
|
|
Text Classification (HP)
|
99% |
1052
1.40 KIPS |
|
|
Text Classification (Q)
|
88% |
1708
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1801
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (Q)
|
50% |
938
33.3 IPS |
