INFINIX Infinix X6871
Geekbench AI Score
1042
Single Precision Score
1017
Half Precision Score
2028
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | INFINIX Infinix X6871 |
| Model ID | INFINIX Infinix X6871 |
| Motherboard | Infinix-X6871 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (Q)
|
100% |
1540
286.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1800
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2401
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
3752
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1304
105.3 IPS |
|
|
Face Detection (SP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (Q)
|
95% |
3241
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2041
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1836
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3330
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3412
4.43 IPS |
|
|
Style Transfer (HP)
|
89% |
3462
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
8509
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2022
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.2 IPS |
|
|
Text Classification (HP)
|
100% |
555
741.0 IPS |
|
|
Text Classification (Q)
|
88% |
993
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
471
16.7 IPS |
