LENOVO TB375FC
Geekbench AI Score
1698
Single Precision Score
1652
Half Precision Score
2436
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 01:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | LENOVO TB375FC |
| Model ID | LENOVO TB375FC |
| Motherboard | P98300DA2 |
| 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 | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
100% |
2417
449.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2647
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
5476
6.49 IPS |
|
|
Object Detection (SP)
|
98% |
1124
89.4 IPS |
|
|
Object Detection (HP)
|
98% |
1182
94.0 IPS |
|
|
Object Detection (Q)
|
83% |
1890
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
2482
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (Q)
|
95% |
4515
53.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2068
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2154
16.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4405
40.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5851
7.59 IPS |
|
|
Style Transfer (HP)
|
89% |
5606
7.28 IPS |
|
|
Style Transfer (Q)
|
98% |
11589
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
658
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.8 IPS |
|
|
Text Classification (HP)
|
99% |
740
988.1 IPS |
|
|
Text Classification (Q)
|
88% |
1255
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
586
20.8 IPS |
