TCL 9469X
Geekbench AI Score
464
Single Precision Score
471
Half Precision Score
905
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | skikitt |
| Upload Date | August 15 2025 07:39 AM |
| Views | 10 |
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% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (Q)
|
100% |
623
115.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
683
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
929
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
964
1.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
1552
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
608
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
672
7.99 IPS |
|
|
Face Detection (HP)
|
100% |
666
7.92 IPS |
|
|
Face Detection (Q)
|
95% |
1422
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
837
6.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1422
13.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1707
2.22 IPS |
|
|
Style Transfer (HP)
|
89% |
1717
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
3571
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
861
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.5 IPS |
|
|
Text Classification (HP)
|
100% |
264
351.8 IPS |
|
|
Text Classification (Q)
|
88% |
467
629.7 IPS |
|
|
Machine Translation (SP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
