LENOVO TB321FU
Geekbench AI Score
504
Single Precision Score
20980
Half Precision Score
51110
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:46 PM |
| Views | 1 |
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% |
320
59.5 IPS |
|
|
Image Classification (HP)
|
100% |
16527
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
42150
7.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
10793
175.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31266
508.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
523
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
77140
90.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
398543
466.5 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
14863
1.18 KIPS |
|
|
Object Detection (Q)
|
86% |
20515
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
741
8.81 IPS |
|
|
Face Detection (HP)
|
100% |
33014
392.3 IPS |
|
|
Face Detection (Q)
|
97% |
128165
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
642
4.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
58781
452.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
116964
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1025
1.32 IPS |
|
|
Style Transfer (HP)
|
98% |
82458
106.3 IPS |
|
|
Style Transfer (Q)
|
98% |
422257
544.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40863
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103061
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
446
595.6 IPS |
|
|
Text Classification (HP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6794
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3835
66.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2547
66.7 IPS |
