LENOVO TB373FU
Geekbench AI Score
1797
Single Precision Score
1724
Half Precision Score
3051
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 07:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
1449
269.4 IPS |
|
|
Image Classification (Q)
|
100% |
2497
464.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2413
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2487
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2558
2.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
6111
7.25 IPS |
|
|
Object Detection (SP)
|
98% |
1196
95.2 IPS |
|
|
Object Detection (HP)
|
98% |
1184
94.2 IPS |
|
|
Object Detection (Q)
|
83% |
2075
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (Q)
|
95% |
5026
60.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2418
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2343
18.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5065
46.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6484
8.42 IPS |
|
|
Style Transfer (HP)
|
89% |
6378
8.28 IPS |
|
|
Style Transfer (Q)
|
98% |
13006
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1228
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3367
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
727
971.0 IPS |
|
|
Text Classification (HP)
|
99% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1288
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1332
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
638
22.6 IPS |
