LENOVO TB322FC
Geekbench AI Score
2930
Single Precision Score
2950
Half Precision Score
5399
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 07:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2120
394.2 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (Q)
|
100% |
4663
867.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5683
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5330
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
5326
6.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
13371
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1738
138.3 IPS |
|
|
Object Detection (HP)
|
98% |
1826
145.3 IPS |
|
|
Object Detection (Q)
|
83% |
4254
343.6 IPS |
|
|
Face Detection (SP)
|
100% |
4580
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
4630
55.0 IPS |
|
|
Face Detection (Q)
|
95% |
10569
126.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4723
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4843
37.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
11351
104.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11825
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11716
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25401
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2468
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2417
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7053
261.4 IPS |
|
|
Text Classification (SP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (HP)
|
99% |
1032
1.38 KIPS |
|
|
Text Classification (Q)
|
88% |
1113
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
584
20.7 IPS |
