LENOVO TB321FU
Geekbench AI Score
2065
Single Precision Score
3195
Half Precision Score
2431
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1299
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
1872
348.1 IPS |
|
|
Image Classification (Q)
|
100% |
1635
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2652
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4488
72.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3760
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10303
12.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
18694
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18284
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
1138
90.2 IPS |
|
|
Object Detection (HP)
|
99% |
1719
136.3 IPS |
|
|
Object Detection (Q)
|
87% |
1635
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7310
86.9 IPS |
|
|
Face Detection (Q)
|
97% |
5549
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5353
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7816
60.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
5976
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12991
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26979
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27038
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4487
165.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4295
159.2 IPS |
|
|
Text Classification (SP)
|
35% |
49
475.2 IPS |
|
|
Text Classification (HP)
|
35% |
66
601.4 IPS |
|
|
Text Classification (Q)
|
33% |
46
556.1 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.8 IPS |
|
|
Machine Translation (HP)
|
97% |
900
15.6 IPS |
|
|
Machine Translation (Q)
|
43% |
222
12.6 IPS |
