INFINIX Infinix X6853
Geekbench AI Score
479
Single Precision Score
494
Half Precision Score
961
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 06:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6853 |
| Model ID | INFINIX Infinix X6853 |
| Motherboard | Infinix-X6853 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
229
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (Q)
|
100% |
659
122.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
720
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1133
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1656
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
660
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.74 IPS |
|
|
Face Detection (Q)
|
95% |
1489
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1528
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1848
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1817
2.36 IPS |
|
|
Style Transfer (Q)
|
98% |
3793
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
405
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
920
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
278
370.9 IPS |
|
|
Text Classification (HP)
|
100% |
276
369.1 IPS |
|
|
Text Classification (Q)
|
88% |
493
665.3 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
