TCL T951K
Geekbench AI Score
740
Single Precision Score
745
Half Precision Score
1651
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 11:05 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% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
100% |
1179
219.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1416
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1579
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1688
1.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
3010
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
100% |
340
26.9 IPS |
|
|
Object Detection (Q)
|
83% |
1087
87.8 IPS |
|
|
Face Detection (SP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
887
10.5 IPS |
|
|
Face Detection (Q)
|
95% |
2646
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1256
9.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
1248
9.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
2789
25.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2828
3.67 IPS |
|
|
Style Transfer (HP)
|
89% |
2895
3.76 IPS |
|
|
Style Transfer (Q)
|
98% |
6730
8.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
727
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1748
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.5 IPS |
|
|
Text Classification (HP)
|
100% |
430
573.9 IPS |
|
|
Text Classification (Q)
|
88% |
866
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
50% |
367
13.0 IPS |
