LENOVO TB322FC
Geekbench AI Score
2929
Single Precision Score
2905
Half Precision Score
5287
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 10:55 PM |
| Views | 2 |
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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2212
411.4 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.4 IPS |
|
|
Image Classification (Q)
|
100% |
4794
891.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5761
93.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5579
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5540
6.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
14014
16.6 IPS |
|
|
Object Detection (SP)
|
98% |
1908
151.8 IPS |
|
|
Object Detection (HP)
|
98% |
1823
145.0 IPS |
|
|
Object Detection (Q)
|
83% |
4260
344.1 IPS |
|
|
Face Detection (SP)
|
100% |
4711
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
4786
56.9 IPS |
|
|
Face Detection (Q)
|
95% |
10472
125.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
5021
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4781
36.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
11159
102.2 IPS |
|
|
Style Transfer (SP)
|
89% |
12302
16.0 IPS |
|
|
Style Transfer (HP)
|
89% |
12184
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27006
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2560
94.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2593
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7062
261.7 IPS |
|
|
Text Classification (SP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (HP)
|
99% |
1049
1.40 KIPS |
|
|
Text Classification (Q)
|
88% |
1097
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.1 IPS |
