INFINIX Infinix X6831
Geekbench AI Score
334
Single Precision Score
344
Half Precision Score
614
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 07:29 AM |
| Views | 1 |
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% |
169
31.5 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
100% |
480
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
595
9.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
1238
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
446
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.01 IPS |
|
|
Face Detection (Q)
|
95% |
965
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
533
4.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
547
4.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1055
9.67 IPS |
|
|
Style Transfer (SP)
|
89% |
1507
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1623
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
2461
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
705
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
148
196.9 IPS |
|
|
Text Classification (HP)
|
100% |
177
235.8 IPS |
|
|
Text Classification (Q)
|
88% |
217
292.4 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
50% |
126
4.48 IPS |
