LENOVO Lenovo TB128XU
Geekbench AI Score
237
Single Precision Score
238
Half Precision Score
224
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | February 22 2025 07:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
114
21.3 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
100% |
137
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
137
2.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
183
2.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
516
0.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
312
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.67 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (Q)
|
83% |
152
12.3 IPS |
|
|
Face Detection (SP)
|
100% |
301
3.58 IPS |
|
|
Face Detection (HP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (Q)
|
95% |
356
4.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
386
2.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
399
3.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
339
3.11 IPS |
|
|
Style Transfer (SP)
|
89% |
912
1.18 IPS |
|
|
Style Transfer (HP)
|
89% |
910
1.18 IPS |
|
|
Style Transfer (Q)
|
98% |
845
1.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
218
8.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
198
7.33 IPS |
|
|
Text Classification (SP)
|
100% |
125
166.9 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.7 IPS |
|
|
Text Classification (Q)
|
88% |
140
189.0 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (Q)
|
50% |
95
3.37 IPS |
