LENOVO Lenovo TB128XU
Geekbench AI Score
35
Single Precision Score
109
Half Precision Score
106
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | March 15 2025 04:32 PM |
| Views | 15 |
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
5.91 IPS |
|
|
Image Classification (HP)
|
100% |
64
12.0 IPS |
|
|
Image Classification (Q)
|
97% |
66
12.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
31
0.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
106
1.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
55
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
110
0.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
110
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.53 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.29 IPS |
|
|
Object Detection (Q)
|
89% |
53
4.28 IPS |
|
|
Face Detection (SP)
|
100% |
80
0.95 IPS |
|
|
Face Detection (HP)
|
100% |
199
2.37 IPS |
|
|
Face Detection (Q)
|
97% |
206
2.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
75
0.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
155
1.20 IPS |
|
|
Depth Estimation (Q)
|
62% |
127
1.20 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
290
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
288
0.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36
1.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
77
2.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
76
2.82 IPS |
|
|
Text Classification (SP)
|
100% |
71
94.6 IPS |
|
|
Text Classification (HP)
|
100% |
71
94.9 IPS |
|
|
Text Classification (Q)
|
91% |
92
123.2 IPS |
|
|
Machine Translation (SP)
|
100% |
124
2.14 IPS |
|
|
Machine Translation (HP)
|
100% |
125
2.15 IPS |
|
|
Machine Translation (Q)
|
57% |
88
2.15 IPS |
