TCL 9469X
Geekbench AI Score
418
Single Precision Score
402
Half Precision Score
725
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Degeho |
| Upload Date | September 12 2025 07:02 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
172
32.1 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (Q)
|
100% |
223
41.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
432
7.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
878
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
884
1.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
1295
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
83% |
491
39.7 IPS |
|
|
Face Detection (SP)
|
100% |
562
6.68 IPS |
|
|
Face Detection (HP)
|
100% |
502
5.96 IPS |
|
|
Face Detection (Q)
|
95% |
947
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
753
5.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
806
6.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1437
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1571
2.04 IPS |
|
|
Style Transfer (HP)
|
89% |
1641
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3611
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
880
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.6 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.3 IPS |
|
|
Text Classification (Q)
|
88% |
477
643.3 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.95 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
