INFINIX Infinix X6831
Geekbench AI Score
23
Single Precision Score
382
Half Precision Score
301
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MADSDemid |
| Upload Date | July 17 2025 03:38 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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)
|
0% |
0
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
97% |
222
41.5 IPS |
|
|
Image Segmentation (SP)
|
73% |
149
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
337
5.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
675
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1487
1.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1460
1.71 IPS |
|
|
Object Detection (SP)
|
1% |
0
8.31 IPS |
|
|
Object Detection (HP)
|
99% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
205
16.6 IPS |
|
|
Face Detection (SP)
|
0% |
0
4.62 IPS |
|
|
Face Detection (HP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (Q)
|
96% |
679
8.10 IPS |
|
|
Depth Estimation (SP)
|
1% |
1
3.12 IPS |
|
|
Depth Estimation (HP)
|
98% |
835
6.45 IPS |
|
|
Depth Estimation (Q)
|
62% |
654
6.22 IPS |
|
|
Style Transfer (SP)
|
100% |
997
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2070
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
2044
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
605
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
585
21.7 IPS |
|
|
Text Classification (SP)
|
35% |
10
97.9 IPS |
|
|
Text Classification (HP)
|
29% |
8
130.3 IPS |
|
|
Text Classification (Q)
|
29% |
8
132.7 IPS |
|
|
Machine Translation (SP)
|
100% |
199
3.44 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.76 IPS |
