TCL 9469X
Geekbench AI Score
501
Single Precision Score
497
Half Precision Score
928
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 02:26 PM |
| Views | 2 |
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 | 11.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (HP)
|
100% |
220
41.0 IPS |
|
|
Image Classification (Q)
|
100% |
638
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
704
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1069
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1591
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
622
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
717
8.52 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
95% |
1454
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
839
6.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
826
6.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
1461
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1813
2.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1810
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
3661
4.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
880
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.5 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.1 IPS |
|
|
Text Classification (Q)
|
88% |
481
649.4 IPS |
|
|
Machine Translation (SP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
