LENOVO TB373FU
Geekbench AI Score
720
Single Precision Score
839
Half Precision Score
817
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | April 06 2025 01:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
479
89.0 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.9 IPS |
|
|
Image Classification (Q)
|
99% |
552
103.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1103
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
586
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
812
0.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
801
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (Q)
|
83% |
501
40.5 IPS |
|
|
Face Detection (SP)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
2158
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
1910
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1081
8.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
1312
10.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1044
9.88 IPS |
|
|
Style Transfer (SP)
|
100% |
3115
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3687
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3695
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
625
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.8 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.6 IPS |
|
|
Text Classification (Q)
|
91% |
404
543.5 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.90 IPS |
|
|
Machine Translation (Q)
|
57% |
295
7.22 IPS |
