LENOVO TB322FC
Geekbench AI Score
712
Single Precision Score
27815
Half Precision Score
63161
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 10:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB322FC |
| Model ID | LENOVO TB322FC |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
21449
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
50371
9.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
13743
222.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
42566
692.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
123205
143.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
479546
561.3 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
19637
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
23034
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
44077
523.7 IPS |
|
|
Face Detection (Q)
|
97% |
160820
1.92 KIPS |
|
|
Depth Estimation (SP)
|
100% |
903
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
84523
651.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
147273
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1542
1.98 IPS |
|
|
Style Transfer (HP)
|
98% |
98872
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
496533
640.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55046
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135403
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
651
868.6 IPS |
|
|
Text Classification (HP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8245
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3250
83.7 IPS |
