INFINIX Infinix X6856
Geekbench AI Score
1114
Single Precision Score
4449
Half Precision Score
4477
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 01:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6856 |
| Model ID | INFINIX Infinix X6856 |
| Motherboard | Infinix-X6856 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1004
186.7 IPS |
|
|
Image Classification (HP)
|
100% |
4173
776.0 IPS |
|
|
Image Classification (Q)
|
99% |
7467
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4212
68.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1791
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9192
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17517
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
73140
85.7 IPS |
|
|
Object Detection (SP)
|
100% |
627
49.8 IPS |
|
|
Object Detection (HP)
|
100% |
4306
341.6 IPS |
|
|
Object Detection (Q)
|
86% |
4925
396.2 IPS |
|
|
Face Detection (SP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
10229
121.5 IPS |
|
|
Face Detection (Q)
|
97% |
11185
133.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
810
6.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
18917
145.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
31206
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3159
4.06 IPS |
|
|
Style Transfer (HP)
|
100% |
567
0.73 IPS |
|
|
Style Transfer (Q)
|
30% |
463
6.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10240
378.1 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7083
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
115
153.2 IPS |
|
|
Text Classification (HP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (Q)
|
93% |
1606
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
60% |
366
8.24 IPS |
