TCL 9469X
Geekbench AI Score
487
Single Precision Score
484
Half Precision Score
903
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | skikitt |
| Upload Date | August 15 2025 11:22 AM |
| Views | 8 |
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% |
218
40.6 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (Q)
|
100% |
623
115.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
695
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1047
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1047
1.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
1549
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (Q)
|
83% |
601
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (HP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (Q)
|
95% |
1430
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
846
6.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
819
6.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1404
12.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1719
2.23 IPS |
|
|
Style Transfer (HP)
|
89% |
1752
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3569
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
843
31.2 IPS |
|
|
Text Classification (SP)
|
100% |
270
359.8 IPS |
|
|
Text Classification (HP)
|
100% |
265
354.2 IPS |
|
|
Text Classification (Q)
|
88% |
473
638.2 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
50% |
315
11.2 IPS |
