TCL 9199S
Geekbench AI Score
295
Single Precision Score
517
Half Precision Score
447
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 04 2026 12:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TCL 9199S |
| Model ID | TCL 9199S |
| 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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
97% |
318
59.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
528
8.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2030
2.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
2025
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
99% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
83% |
319
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
634
7.53 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
96% |
1215
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
731
5.63 IPS |
|
|
Depth Estimation (HP)
|
98% |
1337
10.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1057
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1784
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3936
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3890
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
779
28.9 IPS |
|
|
Text Classification (SP)
|
35% |
9
83.9 IPS |
|
|
Text Classification (HP)
|
29% |
7
125.6 IPS |
|
|
Text Classification (Q)
|
31% |
10
133.5 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.43 IPS |
