TCL 9185W
Geekbench AI Score
547
Single Precision Score
546
Half Precision Score
1057
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 04:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TCL 9185W |
| Model ID | TCL 9185W |
| Motherboard | MT8755 |
| 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 @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (HP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (Q)
|
100% |
733
136.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
794
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1174
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1846
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (Q)
|
83% |
711
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
767
9.12 IPS |
|
|
Face Detection (HP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (Q)
|
95% |
1669
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
977
7.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
935
7.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1695
15.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2019
2.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2027
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4202
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1008
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.7 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.1 IPS |
|
|
Text Classification (Q)
|
88% |
536
723.2 IPS |
|
|
Machine Translation (SP)
|
100% |
509
8.76 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
