LENOVO TB331FC
Geekbench AI Score
96
Single Precision Score
96
Half Precision Score
151
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 23 2024 05:03 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LENOVO TB331FC |
| Model ID | LENOVO TB331FC |
| Motherboard | bengal |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
55
10.2 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.2 IPS |
|
|
Image Classification (Q)
|
97% |
97
18.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
75
1.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
106
1.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
106
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
106
0.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
205
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
56
4.40 IPS |
|
|
Object Detection (HP)
|
100% |
56
4.42 IPS |
|
|
Object Detection (Q)
|
89% |
101
8.04 IPS |
|
|
Face Detection (SP)
|
100% |
141
1.67 IPS |
|
|
Face Detection (HP)
|
100% |
142
1.69 IPS |
|
|
Face Detection (Q)
|
97% |
228
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
124
0.95 IPS |
|
|
Depth Estimation (HP)
|
100% |
124
0.96 IPS |
|
|
Depth Estimation (Q)
|
73% |
213
1.74 IPS |
|
|
Style Transfer (SP)
|
100% |
233
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
233
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
451
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63
2.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
121
4.47 IPS |
|
|
Text Classification (SP)
|
100% |
81
107.7 IPS |
|
|
Text Classification (HP)
|
100% |
81
107.5 IPS |
|
|
Text Classification (Q)
|
91% |
107
143.9 IPS |
|
|
Machine Translation (SP)
|
100% |
136
2.35 IPS |
|
|
Machine Translation (HP)
|
100% |
136
2.35 IPS |
|
|
Machine Translation (Q)
|
57% |
106
2.59 IPS |
