INFINIX Infinix X6731
Geekbench AI Score
734
Single Precision Score
725
Half Precision Score
1515
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 02:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | INFINIX Infinix X6731 |
| Model ID | INFINIX Infinix X6731 |
| Motherboard | Infinix-X6731 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (Q)
|
100% |
1373
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1358
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1585
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1589
1.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
3010
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
83% |
1001
80.8 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
2529
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1224
9.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
1272
9.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
2289
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2916
3.79 IPS |
|
|
Style Transfer (HP)
|
89% |
2844
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
6428
8.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1412
52.3 IPS |
|
|
Text Classification (SP)
|
100% |
318
425.0 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.0 IPS |
|
|
Text Classification (Q)
|
88% |
670
903.6 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.66 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
