TCL T434D
Geekbench AI Score
205
Single Precision Score
205
Half Precision Score
204
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | January 17 2025 12:56 AM |
| 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% |
105
19.4 IPS |
|
|
Image Classification (HP)
|
100% |
102
18.9 IPS |
|
|
Image Classification (Q)
|
100% |
131
24.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
208
3.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
434
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.67 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.64 IPS |
|
|
Object Detection (Q)
|
83% |
132
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (HP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (Q)
|
95% |
378
4.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
355
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
375
2.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
331
3.03 IPS |
|
|
Style Transfer (SP)
|
89% |
1096
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1094
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1036
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
159
5.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
150
5.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
187
6.94 IPS |
|
|
Text Classification (SP)
|
100% |
81
108.4 IPS |
|
|
Text Classification (HP)
|
100% |
84
112.1 IPS |
|
|
Text Classification (Q)
|
88% |
74
100.4 IPS |
|
|
Machine Translation (SP)
|
100% |
127
2.18 IPS |
|
|
Machine Translation (HP)
|
100% |
125
2.15 IPS |
|
|
Machine Translation (Q)
|
50% |
45
1.58 IPS |
