LENOVO TB375FC
Geekbench AI Score
1804
Single Precision Score
1794
Half Precision Score
3140
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 09:27 AM |
| Views | 1 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.1 IPS |
|
|
Image Classification (HP)
|
100% |
1480
275.3 IPS |
|
|
Image Classification (Q)
|
100% |
2586
481.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2871
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2741
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
6362
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1208
96.2 IPS |
|
|
Object Detection (HP)
|
98% |
1209
96.2 IPS |
|
|
Object Detection (Q)
|
83% |
2065
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
2531
30.1 IPS |
|
|
Face Detection (Q)
|
95% |
5010
59.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2365
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2447
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5152
47.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6517
8.46 IPS |
|
|
Style Transfer (HP)
|
89% |
6361
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
13455
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1285
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1276
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3334
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
747
996.8 IPS |
|
|
Text Classification (HP)
|
99% |
738
984.6 IPS |
|
|
Text Classification (Q)
|
88% |
1297
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
637
22.6 IPS |
