Lenovo TB320FC
Geekbench AI Score
355
Single Precision Score
353
Half Precision Score
884
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | WJOhnas |
| Upload Date | August 15 2024 07:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Lenovo TB320FC |
| Model ID | Lenovo TB320FC |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
97% |
588
109.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
626
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
1491
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
89% |
636
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
552
6.56 IPS |
|
|
Face Detection (HP)
|
100% |
556
6.61 IPS |
|
|
Face Detection (Q)
|
97% |
1366
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
467
3.60 IPS |
|
|
Depth Estimation (HP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (Q)
|
73% |
1339
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
792
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
790
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
2048
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
229
8.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
227
8.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
878
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
307
410.1 IPS |
|
|
Text Classification (HP)
|
100% |
305
406.8 IPS |
|
|
Text Classification (Q)
|
91% |
558
750.4 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
57% |
457
11.2 IPS |
