INFINIX Infinix X6871
Geekbench AI Score
1041
Single Precision Score
1049
Half Precision Score
2025
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 06:23 AM |
| 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% |
572
106.3 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.3 IPS |
|
|
Image Classification (Q)
|
100% |
1678
312.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1768
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1710
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1953
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
3738
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
83% |
1314
106.2 IPS |
|
|
Face Detection (SP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
3148
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1866
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1863
14.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3313
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3927
5.10 IPS |
|
|
Style Transfer (HP)
|
89% |
3973
5.16 IPS |
|
|
Style Transfer (Q)
|
98% |
8405
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2013
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
568
757.9 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.4 IPS |
|
|
Text Classification (Q)
|
88% |
1000
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
452
16.1 IPS |
