LENOVO TB370FU
Geekbench AI Score
423
Single Precision Score
634
Half Precision Score
531
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 03:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | LENOVO TB370FU |
| Model ID | LENOVO TB370FU |
| Motherboard | spruce_row_wifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (Q)
|
97% |
316
58.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
681
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1759
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3317
3.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
3180
3.73 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
99% |
340
26.9 IPS |
|
|
Object Detection (Q)
|
83% |
318
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (Q)
|
96% |
1191
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1086
8.37 IPS |
|
|
Depth Estimation (HP)
|
98% |
2144
16.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1699
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3151
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
6433
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
6437
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
828
30.7 IPS |
|
|
Text Classification (SP)
|
35% |
12
104.9 IPS |
|
|
Text Classification (HP)
|
29% |
8
132.5 IPS |
|
|
Text Classification (Q)
|
32% |
10
129.6 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.42 IPS |
