LENOVO TB331FC
Geekbench AI Score
342
Single Precision Score
330
Half Precision Score
371
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 05:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.6 IPS |
|
|
Image Classification (Q)
|
100% |
333
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
416
6.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
813
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
784
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
621
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
298
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (Q)
|
95% |
722
8.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
664
5.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
521
4.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
647
5.92 IPS |
|
|
Style Transfer (SP)
|
89% |
1363
1.77 IPS |
|
|
Style Transfer (HP)
|
89% |
1374
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1572
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
351
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
196
7.28 IPS |
|
|
Text Classification (SP)
|
100% |
128
170.5 IPS |
|
|
Text Classification (HP)
|
100% |
127
170.0 IPS |
|
|
Text Classification (Q)
|
88% |
141
190.4 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.43 IPS |
|
|
Machine Translation (Q)
|
50% |
95
3.36 IPS |
