TCL T434D
Geekbench AI Score
132
Single Precision Score
139
Half Precision Score
152
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 25 2025 05:05 PM |
| Views | 7 |
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% |
55
10.2 IPS |
|
|
Image Classification (HP)
|
100% |
54
10.1 IPS |
|
|
Image Classification (Q)
|
100% |
80
14.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
126
2.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
401
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
315
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
64
5.08 IPS |
|
|
Object Detection (HP)
|
100% |
76
6.05 IPS |
|
|
Object Detection (Q)
|
83% |
98
7.92 IPS |
|
|
Face Detection (SP)
|
100% |
177
2.10 IPS |
|
|
Face Detection (HP)
|
100% |
194
2.30 IPS |
|
|
Face Detection (Q)
|
95% |
314
3.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
238
1.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
233
1.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
262
2.40 IPS |
|
|
Style Transfer (SP)
|
89% |
864
1.12 IPS |
|
|
Style Transfer (HP)
|
89% |
846
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
916
1.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
101
3.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
155
5.74 IPS |
|
|
Text Classification (SP)
|
100% |
49
65.3 IPS |
|
|
Text Classification (HP)
|
100% |
48
63.8 IPS |
|
|
Text Classification (Q)
|
88% |
55
74.1 IPS |
|
|
Machine Translation (SP)
|
100% |
77
1.33 IPS |
|
|
Machine Translation (HP)
|
100% |
74
1.27 IPS |
|
|
Machine Translation (Q)
|
50% |
33
1.16 IPS |
