INFINIX Infinix X6876
Geekbench AI Score
1013
Single Precision Score
1006
Half Precision Score
2180
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 27 2026 03:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6876 |
| Model ID | INFINIX Infinix X6876 |
| Motherboard | Infinix-X6876 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
100% |
1549
288.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1787
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2175
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2090
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
4031
4.78 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (Q)
|
83% |
1481
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
1233
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
3698
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1763
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1759
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3652
33.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3877
5.03 IPS |
|
|
Style Transfer (HP)
|
89% |
3911
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
9126
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2182
80.9 IPS |
|
|
Text Classification (SP)
|
100% |
550
734.1 IPS |
|
|
Text Classification (HP)
|
100% |
547
729.7 IPS |
|
|
Text Classification (Q)
|
88% |
1016
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
537
19.1 IPS |
