LENOVO TB321FU
Geekbench AI Score
488
Single Precision Score
20935
Half Precision Score
51044
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 15 2025 03:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
100% |
16526
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
41803
7.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
10819
175.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31197
507.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
77013
89.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
397749
465.5 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
14796
1.17 KIPS |
|
|
Object Detection (Q)
|
86% |
20361
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (HP)
|
100% |
32954
391.6 IPS |
|
|
Face Detection (Q)
|
97% |
126765
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
619
4.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
58797
453.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
116970
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1000
1.29 IPS |
|
|
Style Transfer (HP)
|
98% |
82343
106.2 IPS |
|
|
Style Transfer (Q)
|
98% |
421409
543.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40790
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
102962
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
447
597.1 IPS |
|
|
Text Classification (HP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6858
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2577
67.5 IPS |
