TCL 9469X
Geekbench AI Score
479
Single Precision Score
479
Half Precision Score
905
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | skikitt |
| Upload Date | August 15 2025 09:13 AM |
| Views | 13 |
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% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
100% |
625
116.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
688
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1058
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1050
1.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
1553
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
83% |
606
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.24 IPS |
|
|
Face Detection (Q)
|
95% |
1420
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
808
6.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
851
6.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1416
13.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1729
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1732
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3587
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
389
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
857
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.6 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.4 IPS |
|
|
Text Classification (Q)
|
88% |
467
629.7 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
50% |
318
11.3 IPS |
