TCL T951K
Geekbench AI Score
805
Single Precision Score
785
Half Precision Score
1800
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 08:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TCL T951K |
| Model ID | TCL T951K |
| Motherboard | MT6878 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
100% |
1526
283.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1776
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1963
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
3303
3.92 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
1152
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
948
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
2742
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1255
9.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
1241
9.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
2796
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2867
3.72 IPS |
|
|
Style Transfer (HP)
|
89% |
2967
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
7064
9.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1842
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
468
625.3 IPS |
|
|
Text Classification (HP)
|
100% |
430
574.6 IPS |
|
|
Text Classification (Q)
|
88% |
951
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
365
13.0 IPS |
