INFINIX Infinix X6831
Geekbench AI Score
337
Single Precision Score
332
Half Precision Score
605
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MADSDemid |
| Upload Date | July 17 2025 03:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769H |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | INFINIX Infinix X6831 |
| Model ID | INFINIX Infinix X6831 |
| Motherboard | Infinix-X6831 |
| CPU Information | |
|---|---|
| Name | ARM MT6769H |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (Q)
|
100% |
556
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
661
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
807
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
1192
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
83% |
402
32.5 IPS |
|
|
Face Detection (SP)
|
100% |
437
5.19 IPS |
|
|
Face Detection (HP)
|
100% |
419
4.98 IPS |
|
|
Face Detection (Q)
|
95% |
1076
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
532
4.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
518
3.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1024
9.38 IPS |
|
|
Style Transfer (SP)
|
89% |
1288
1.67 IPS |
|
|
Style Transfer (HP)
|
89% |
1334
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
2547
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
267
9.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
584
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.1 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.3 IPS |
|
|
Text Classification (Q)
|
88% |
205
276.5 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (Q)
|
50% |
112
3.98 IPS |
