Lenovo TB320FC
Geekbench AI Score
355
Single Precision Score
11387
Half Precision Score
30397
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:51 PM |
| Views | 1 |
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% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
8539
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
24604
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
6753
109.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19430
316.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
353
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
38838
45.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
227511
266.7 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
7976
632.7 IPS |
|
|
Object Detection (Q)
|
88% |
12394
992.9 IPS |
|
|
Face Detection (SP)
|
100% |
567
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
18855
224.0 IPS |
|
|
Face Detection (Q)
|
97% |
76910
917.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
28396
219.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
67520
621.6 IPS |
|
|
Style Transfer (SP)
|
100% |
797
1.02 IPS |
|
|
Style Transfer (HP)
|
98% |
41355
53.3 IPS |
|
|
Style Transfer (Q)
|
98% |
227665
293.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
229
8.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21859
807.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
73956
2.74 KIPS |
|
|
Text Classification (SP)
|
100% |
310
414.1 IPS |
|
|
Text Classification (HP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (Q)
|
94% |
4504
6.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (HP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (Q)
|
50% |
1269
43.9 IPS |
