LENOVO TB321FU
Geekbench AI Score
2829
Single Precision Score
2873
Half Precision Score
4617
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 16 2025 08:03 AM |
| Views | 2 |
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% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
2442
454.2 IPS |
|
|
Image Classification (Q)
|
100% |
3434
638.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2658
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2642
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4263
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4290
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4106
4.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
9579
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
2287
182.0 IPS |
|
|
Object Detection (HP)
|
98% |
2267
180.4 IPS |
|
|
Object Detection (Q)
|
83% |
3091
249.7 IPS |
|
|
Face Detection (SP)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (Q)
|
95% |
7429
88.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3984
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3747
29.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7379
67.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10511
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10683
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20648
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2193
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5481
203.1 IPS |
|
|
Text Classification (SP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1066
1.42 KIPS |
|
|
Text Classification (Q)
|
88% |
1697
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
966
34.3 IPS |
