LENOVO TB321FU
Geekbench AI Score
2881
Single Precision Score
2880
Half Precision Score
4517
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 15 2025 03:40 PM |
| Views | 15 |
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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
2441
454.0 IPS |
|
|
Image Classification (Q)
|
100% |
3418
635.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2656
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2692
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4132
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4113
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3996
4.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
9682
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
2202
175.2 IPS |
|
|
Object Detection (HP)
|
98% |
2071
164.8 IPS |
|
|
Object Detection (Q)
|
83% |
3100
250.4 IPS |
|
|
Face Detection (SP)
|
100% |
4202
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4278
50.8 IPS |
|
|
Face Detection (Q)
|
95% |
7580
90.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4242
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4202
32.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6951
63.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10249
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9974
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19811
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2202
81.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5424
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (HP)
|
99% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
88% |
1527
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (Q)
|
50% |
966
34.3 IPS |
