INFINIX Infinix X6531B
Geekbench AI Score
220
Single Precision Score
211
Half Precision Score
307
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 07:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | INFINIX Infinix X6531B |
| Model ID | INFINIX Infinix X6531B |
| Motherboard | Infinix-X6531B |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
100% |
207
38.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
261
4.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
415
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.71 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.56 IPS |
|
|
Object Detection (Q)
|
83% |
201
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
95% |
556
6.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
396
3.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
358
2.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
457
4.18 IPS |
|
|
Style Transfer (SP)
|
89% |
850
1.10 IPS |
|
|
Style Transfer (HP)
|
89% |
846
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
1060
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
200
7.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.37 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.5 IPS |
|
|
Text Classification (HP)
|
100% |
111
147.7 IPS |
|
|
Text Classification (Q)
|
88% |
177
239.2 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (HP)
|
100% |
169
2.92 IPS |
|
|
Machine Translation (Q)
|
50% |
140
4.96 IPS |
