LENOVO TB373FU
Geekbench AI Score
1675
Single Precision Score
1639
Half Precision Score
2776
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | April 06 2025 01:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LENOVO TB373FU |
| Model ID | LENOVO TB373FU |
| Motherboard | P98300DA1 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1447
269.1 IPS |
|
|
Image Classification (HP)
|
100% |
1412
262.6 IPS |
|
|
Image Classification (Q)
|
100% |
2435
452.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2556
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2488
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2340
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
5559
6.59 IPS |
|
|
Object Detection (SP)
|
98% |
1169
93.0 IPS |
|
|
Object Detection (HP)
|
98% |
1203
95.7 IPS |
|
|
Object Detection (Q)
|
83% |
1929
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2350
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (Q)
|
95% |
4665
55.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2171
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2160
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4490
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6018
7.81 IPS |
|
|
Style Transfer (HP)
|
89% |
5890
7.65 IPS |
|
|
Style Transfer (Q)
|
98% |
11100
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2705
100.2 IPS |
|
|
Text Classification (SP)
|
100% |
651
869.1 IPS |
|
|
Text Classification (HP)
|
99% |
642
857.1 IPS |
|
|
Text Classification (Q)
|
88% |
1239
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
524
18.6 IPS |
