LENOVO Lenovo TB128XU
Geekbench AI Score
30
Single Precision Score
91
Half Precision Score
90
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | February 22 2025 08:49 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LENOVO Lenovo TB128XU |
| Model ID | LENOVO Lenovo TB128XU |
| Motherboard | P89990AA1 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
5.96 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.2 IPS |
|
|
Image Classification (Q)
|
97% |
67
12.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
30
0.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
93
1.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
89
1.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
56
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
113
0.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
112
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.56 IPS |
|
|
Object Detection (HP)
|
100% |
55
4.35 IPS |
|
|
Object Detection (Q)
|
89% |
54
4.33 IPS |
|
|
Face Detection (SP)
|
100% |
81
0.96 IPS |
|
|
Face Detection (HP)
|
100% |
202
2.39 IPS |
|
|
Face Detection (Q)
|
97% |
206
2.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
76
0.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
157
1.21 IPS |
|
|
Depth Estimation (Q)
|
62% |
129
1.22 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
298
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
295
0.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37
1.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
78
2.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
78
2.88 IPS |
|
|
Text Classification (SP)
|
100% |
29
38.2 IPS |
|
|
Text Classification (HP)
|
100% |
29
38.3 IPS |
|
|
Text Classification (Q)
|
91% |
41
55.2 IPS |
|
|
Machine Translation (SP)
|
100% |
52
0.89 IPS |
|
|
Machine Translation (HP)
|
100% |
51
0.88 IPS |
|
|
Machine Translation (Q)
|
57% |
39
0.96 IPS |
