LENOVO TB373FU
Geekbench AI Score
1117
Single Precision Score
4483
Half Precision Score
4471
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | April 06 2025 01:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
988
183.7 IPS |
|
|
Image Classification (HP)
|
100% |
3962
736.8 IPS |
|
|
Image Classification (Q)
|
99% |
7075
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4246
68.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1788
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8258
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
17675
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
72597
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
4163
330.2 IPS |
|
|
Object Detection (Q)
|
86% |
5068
407.6 IPS |
|
|
Face Detection (SP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
10438
124.0 IPS |
|
|
Face Detection (Q)
|
97% |
11066
132.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
886
6.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
18334
141.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
30423
288.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3302
4.24 IPS |
|
|
Style Transfer (HP)
|
100% |
688
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
511
7.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2476
91.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10116
373.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6833
995.1 IPS |
|
|
Text Classification (SP)
|
100% |
113
150.9 IPS |
|
|
Text Classification (HP)
|
100% |
1495
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1495
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (Q)
|
60% |
391
8.80 IPS |
