LENOVO TB322FC
Geekbench AI Score
728
Single Precision Score
27854
Half Precision Score
63076
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 08:27 PM |
| Views | 3 |
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% |
450
83.7 IPS |
|
|
Image Classification (HP)
|
100% |
21486
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50317
9.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
13722
222.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
41985
682.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
728
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
123354
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
478970
560.6 IPS |
|
|
Object Detection (SP)
|
100% |
414
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
19624
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
23186
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
44337
526.8 IPS |
|
|
Face Detection (Q)
|
97% |
160879
1.92 KIPS |
|
|
Depth Estimation (SP)
|
100% |
916
7.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
84662
652.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
146884
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1558
2.00 IPS |
|
|
Style Transfer (HP)
|
98% |
99007
127.7 IPS |
|
|
Style Transfer (Q)
|
98% |
495755
639.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55081
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135315
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
671
895.3 IPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
8211
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4881
84.1 IPS |
|
|
Machine Translation (Q)
|
56% |
3265
84.1 IPS |
