LENOVO TB321FU
Geekbench AI Score
2776
Single Precision Score
2795
Half Precision Score
4503
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2174
404.2 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
100% |
3865
718.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2663
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4204
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4050
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3959
4.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
9482
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
2104
167.5 IPS |
|
|
Object Detection (HP)
|
98% |
2198
174.9 IPS |
|
|
Object Detection (Q)
|
83% |
3369
272.1 IPS |
|
|
Face Detection (SP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
4088
48.6 IPS |
|
|
Face Detection (Q)
|
95% |
7398
88.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4100
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4180
32.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6986
64.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9835
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9570
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19330
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2083
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5157
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1517
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (Q)
|
50% |
846
30.0 IPS |
