LENOVO Lenovo TB-X6C6F
Geekbench AI Score
273
Single Precision Score
277
Half Precision Score
302
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 09:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8768WT |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | LENOVO Lenovo TB-X6C6F |
| Model ID | LENOVO Lenovo TB-X6C6F |
| Motherboard | P98928JA1S |
| CPU Information | |
|---|---|
| Name | ARM MT8768WT |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (Q)
|
100% |
208
38.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
321
5.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
673
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
673
0.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
499
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (Q)
|
83% |
209
16.9 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (Q)
|
95% |
601
7.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
486
3.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
481
4.41 IPS |
|
|
Style Transfer (SP)
|
89% |
1204
1.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1216
1.58 IPS |
|
|
Style Transfer (Q)
|
98% |
1218
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
211
7.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
270
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
144
191.7 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.5 IPS |
|
|
Text Classification (Q)
|
88% |
123
166.3 IPS |
|
|
Machine Translation (SP)
|
100% |
175
3.01 IPS |
|
|
Machine Translation (HP)
|
100% |
171
2.94 IPS |
|
|
Machine Translation (Q)
|
50% |
79
2.79 IPS |
