TABWEE T50
Geekbench AI Score
208
Single Precision Score
223
Half Precision Score
294
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 07:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | TABWEE T50 |
| Model ID | TABWEE T50 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 6 Cores @ 1.61 GHz |
| Cluster 2 | 2 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
100% |
200
37.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
248
4.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
499
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
375
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.58 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.61 IPS |
|
|
Object Detection (Q)
|
83% |
193
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
167
1.98 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.90 IPS |
|
|
Face Detection (Q)
|
95% |
554
6.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
410
3.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
402
3.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
429
3.93 IPS |
|
|
Style Transfer (SP)
|
89% |
819
1.06 IPS |
|
|
Style Transfer (HP)
|
89% |
816
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
974
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
218
8.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
237
8.78 IPS |
|
|
Text Classification (SP)
|
100% |
116
155.3 IPS |
|
|
Text Classification (HP)
|
100% |
115
154.1 IPS |
|
|
Text Classification (Q)
|
88% |
186
250.3 IPS |
|
|
Machine Translation (SP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (HP)
|
100% |
205
3.53 IPS |
|
|
Machine Translation (Q)
|
50% |
136
4.82 IPS |
