INFINIX Infinix X6531
Geekbench AI Score
20
Single Precision Score
308
Half Precision Score
241
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 03:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | INFINIX Infinix X6531 |
| Model ID | INFINIX Infinix X6531 |
| Motherboard | Infinix-X6531 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores @ 1.70 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
16.4 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
97% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
73% |
120
2.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
271
4.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1168
1.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
1142
1.34 IPS |
|
|
Object Detection (SP)
|
1% |
0
6.56 IPS |
|
|
Object Detection (HP)
|
99% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
83% |
171
13.8 IPS |
|
|
Face Detection (SP)
|
0% |
0
3.93 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
96% |
595
7.09 IPS |
|
|
Depth Estimation (SP)
|
1% |
1
2.56 IPS |
|
|
Depth Estimation (HP)
|
98% |
679
5.25 IPS |
|
|
Depth Estimation (Q)
|
62% |
536
5.09 IPS |
|
|
Style Transfer (SP)
|
100% |
828
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1717
2.21 IPS |
|
|
Style Transfer (Q)
|
98% |
1706
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
433
16.1 IPS |
|
|
Text Classification (SP)
|
35% |
6
62.9 IPS |
|
|
Text Classification (HP)
|
29% |
6
101.9 IPS |
|
|
Text Classification (Q)
|
29% |
6
98.0 IPS |
|
|
Machine Translation (SP)
|
100% |
152
2.61 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.97 IPS |
|
|
Machine Translation (Q)
|
43% |
56
3.28 IPS |
