TCL 9469X
Geekbench AI Score
145
Single Precision Score
201
Half Precision Score
191
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 03:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TCL 9469X |
| Model ID | TCL 9469X |
| Motherboard | MT8781 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 11.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
200
3.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
92
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
108
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
108
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.03 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (Q)
|
83% |
107
8.68 IPS |
|
|
Face Detection (SP)
|
100% |
235
2.80 IPS |
|
|
Face Detection (HP)
|
100% |
406
4.83 IPS |
|
|
Face Detection (Q)
|
97% |
332
3.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
174
1.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
227
1.75 IPS |
|
|
Depth Estimation (Q)
|
62% |
185
1.75 IPS |
|
|
Style Transfer (SP)
|
100% |
350
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
487
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
90
3.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
139
5.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
137
5.07 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.2 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.9 IPS |
|
|
Text Classification (Q)
|
91% |
243
326.4 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.61 IPS |
|
|
Machine Translation (Q)
|
57% |
178
4.36 IPS |
