TCL T434D
Geekbench AI Score
132
Single Precision Score
131
Half Precision Score
155
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | November 07 2025 01:42 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TCL T434D |
| Model ID | TCL T434D |
| Motherboard | mt6765 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 1.60 GHz |
| Cluster 2 | 4 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.9 IPS |
|
|
Image Classification (Q)
|
100% |
84
15.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
96
1.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
167
2.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
409
0.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
366
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.73 IPS |
|
|
Object Detection (HP)
|
100% |
75
5.93 IPS |
|
|
Object Detection (Q)
|
83% |
115
9.25 IPS |
|
|
Face Detection (SP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (HP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (Q)
|
95% |
316
3.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
264
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
270
2.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
295
2.70 IPS |
|
|
Style Transfer (SP)
|
89% |
831
1.08 IPS |
|
|
Style Transfer (HP)
|
89% |
809
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
731
0.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
90
3.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
130
4.81 IPS |
|
|
Text Classification (SP)
|
100% |
41
55.2 IPS |
|
|
Text Classification (HP)
|
100% |
37
49.9 IPS |
|
|
Text Classification (Q)
|
88% |
53
72.1 IPS |
|
|
Machine Translation (SP)
|
100% |
64
1.11 IPS |
|
|
Machine Translation (HP)
|
100% |
67
1.15 IPS |
|
|
Machine Translation (Q)
|
50% |
29
1.03 IPS |
