LENOVO Lenovo TB128FU
Geekbench AI Score
386
Single Precision Score
383
Half Precision Score
478
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 04:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | LENOVO Lenovo TB128FU |
| Model ID | LENOVO Lenovo TB128FU |
| Motherboard | P89990GA1 |
| 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% |
179
33.2 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
100% |
315
58.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
402
6.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
854
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
705
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
315
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (HP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (Q)
|
95% |
751
8.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
715
5.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
685
5.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
739
6.77 IPS |
|
|
Style Transfer (SP)
|
89% |
1479
1.92 IPS |
|
|
Style Transfer (HP)
|
89% |
1479
1.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1931
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
416
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
199
266.0 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.5 IPS |
|
|
Text Classification (Q)
|
88% |
289
390.3 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (Q)
|
50% |
175
6.21 IPS |
