LENOVO TB322FC
Geekbench AI Score
2842
Single Precision Score
2878
Half Precision Score
5143
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 08 2025 06:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2145
398.9 IPS |
|
|
Image Classification (HP)
|
100% |
2188
407.0 IPS |
|
|
Image Classification (Q)
|
100% |
4640
862.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2594
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2565
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5340
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5383
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5390
6.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
13134
15.6 IPS |
|
|
Object Detection (SP)
|
98% |
1822
145.0 IPS |
|
|
Object Detection (HP)
|
98% |
1851
147.3 IPS |
|
|
Object Detection (Q)
|
83% |
4168
336.7 IPS |
|
|
Face Detection (SP)
|
100% |
4630
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (Q)
|
95% |
10380
123.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4673
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4831
37.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
11265
103.2 IPS |
|
|
Style Transfer (SP)
|
89% |
12128
15.7 IPS |
|
|
Style Transfer (HP)
|
89% |
12018
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26258
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2474
91.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2556
94.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6716
248.9 IPS |
|
|
Text Classification (SP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (HP)
|
99% |
1062
1.42 KIPS |
|
|
Text Classification (Q)
|
88% |
1106
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
419
14.9 IPS |
