LENOVO TB375FC
Geekbench AI Score
1312
Single Precision Score
1876
Half Precision Score
1491
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 25 2025 03:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
780
145.1 IPS |
|
|
Image Classification (HP)
|
100% |
1270
236.1 IPS |
|
|
Image Classification (Q)
|
97% |
726
135.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1963
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
11638
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11106
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
99% |
1019
80.8 IPS |
|
|
Object Detection (Q)
|
83% |
965
77.9 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (Q)
|
96% |
3312
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3722
28.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6107
47.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4778
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10951
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19913
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18634
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1970
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2764
102.4 IPS |
|
|
Text Classification (SP)
|
35% |
23
213.1 IPS |
|
|
Text Classification (HP)
|
29% |
14
248.8 IPS |
|
|
Text Classification (Q)
|
32% |
19
239.5 IPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
43% |
231
13.4 IPS |
