Lenovo TB320FC
Geekbench AI Score
352
Single Precision Score
8296
Half Precision Score
24495
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | WJOhnas |
| Upload Date | September 07 2024 04:02 AM |
| 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% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
8287
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
23296
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
6681
108.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17648
287.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
36988
43.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
225635
264.5 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
7762
615.7 IPS |
|
|
Object Detection (Q)
|
88% |
11256
901.7 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (HP)
|
100% |
18493
219.7 IPS |
|
|
Face Detection (Q)
|
97% |
74862
892.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
460
3.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
28024
216.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
65949
607.1 IPS |
|
|
Style Transfer (SP)
|
100% |
779
1.00 IPS |
|
|
Style Transfer (HP)
|
24% |
2133
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
149837
193.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
227
8.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21722
802.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
72041
2.67 KIPS |
|
|
Text Classification (SP)
|
100% |
307
409.1 IPS |
|
|
Text Classification (HP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (Q)
|
94% |
4135
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (HP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (Q)
|
37% |
338
34.0 IPS |
