TCL T951K
Geekbench AI Score
585
Single Precision Score
860
Half Precision Score
722
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 11:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
97% |
490
91.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
983
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2567
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4370
5.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
4311
5.05 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
99% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
395
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
1174
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (Q)
|
96% |
1574
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1558
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2592
20.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
2399
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4457
5.73 IPS |
|
|
Style Transfer (HP)
|
100% |
8189
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8154
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1264
46.8 IPS |
|
|
Text Classification (SP)
|
35% |
15
138.5 IPS |
|
|
Text Classification (HP)
|
29% |
11
190.0 IPS |
|
|
Text Classification (Q)
|
32% |
10
131.4 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (Q)
|
43% |
122
7.11 IPS |
