INFINIX Infinix X6531B
Geekbench AI Score
224
Single Precision Score
222
Half Precision Score
307
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 08 2025 01:02 AM |
| Views | 4 |
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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.5 IPS |
|
|
Image Classification (Q)
|
100% |
205
38.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
261
4.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
476
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
415
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.58 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.59 IPS |
|
|
Object Detection (Q)
|
83% |
199
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
319
3.80 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
95% |
568
6.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
416
3.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
388
2.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
456
4.17 IPS |
|
|
Style Transfer (SP)
|
89% |
847
1.10 IPS |
|
|
Style Transfer (HP)
|
89% |
844
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
1062
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.50 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
252
9.35 IPS |
|
|
Text Classification (SP)
|
100% |
116
155.2 IPS |
|
|
Text Classification (HP)
|
100% |
111
148.7 IPS |
|
|
Text Classification (Q)
|
88% |
173
233.5 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.66 IPS |
|
|
Machine Translation (Q)
|
50% |
141
5.01 IPS |
