LENOVO TB322FC
Geekbench AI Score
719
Single Precision Score
27918
Half Precision Score
63131
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 01:12 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% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
21486
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50377
9.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
13948
226.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42562
692.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
122001
142.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
479943
561.7 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
19700
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
23014
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
44345
526.9 IPS |
|
|
Face Detection (Q)
|
97% |
160370
1.91 KIPS |
|
|
Depth Estimation (SP)
|
100% |
906
6.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
84841
653.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
146765
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1546
1.99 IPS |
|
|
Style Transfer (HP)
|
98% |
98853
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
496595
640.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55253
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135666
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
661
882.8 IPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8212
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4927
84.9 IPS |
|
|
Machine Translation (Q)
|
56% |
3261
84.0 IPS |
