TCL 9469X
Geekbench AI Score
304
Single Precision Score
473
Half Precision Score
403
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 12:18 PM |
| Views | 1 |
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 | 7.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.3 IPS |
|
|
Image Classification (Q)
|
97% |
336
62.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
542
8.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1958
2.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
1925
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (HP)
|
99% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
83% |
297
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
1055
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
719
5.54 IPS |
|
|
Depth Estimation (HP)
|
98% |
1441
11.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1142
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1860
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3914
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
3876
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
721
26.7 IPS |
|
|
Text Classification (SP)
|
35% |
10
91.3 IPS |
|
|
Text Classification (HP)
|
29% |
6
98.2 IPS |
|
|
Text Classification (Q)
|
32% |
7
93.4 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (Q)
|
43% |
47
2.74 IPS |
