LENOVO TB322FC
Geekbench AI Score
2626
Single Precision Score
2656
Half Precision Score
4913
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 12:26 AM |
| Views | 1 |
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% |
2244
417.3 IPS |
|
|
Image Classification (HP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (Q)
|
100% |
4528
842.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5727
93.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4943
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
5030
5.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
12178
14.4 IPS |
|
|
Object Detection (SP)
|
98% |
1735
138.1 IPS |
|
|
Object Detection (HP)
|
98% |
1571
125.0 IPS |
|
|
Object Detection (Q)
|
83% |
3990
322.3 IPS |
|
|
Face Detection (SP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4436
52.7 IPS |
|
|
Face Detection (Q)
|
95% |
10056
120.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3908
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4040
31.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10457
95.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10452
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10294
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23805
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2237
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2309
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6353
235.4 IPS |
|
|
Text Classification (SP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
1085
1.45 KIPS |
|
|
Text Classification (Q)
|
88% |
1065
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
