LENOVO TB373FU
Geekbench AI Score
1312
Single Precision Score
1116
Half Precision Score
2070
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | TechnoCat |
| Upload Date | August 19 2025 05:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (Q)
|
100% |
2578
479.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2578
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2634
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2505
2.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
6017
7.14 IPS |
|
|
Object Detection (SP)
|
98% |
1216
96.8 IPS |
|
|
Object Detection (HP)
|
98% |
1251
99.5 IPS |
|
|
Object Detection (Q)
|
83% |
2082
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
2595
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (Q)
|
95% |
4883
58.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2373
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2216
17.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4810
44.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6258
8.12 IPS |
|
|
Style Transfer (HP)
|
89% |
1628
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
4526
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
209
279.5 IPS |
|
|
Text Classification (HP)
|
99% |
249
332.7 IPS |
|
|
Text Classification (Q)
|
88% |
395
533.0 IPS |
|
|
Machine Translation (SP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
