INFINIX Infinix X6851
Geekbench AI Score
249
Single Precision Score
279
Half Precision Score
205
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 07:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6851 |
| Model ID | INFINIX Infinix X6851 |
| Motherboard | Infinix-X6851 |
| 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 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
186
34.5 IPS |
|
|
Image Classification (HP)
|
97% |
339
63.4 IPS |
|
|
Image Classification (Q)
|
97% |
71
13.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.38 IPS |
|
|
Pose Estimation (SP)
|
99% |
1043
1.22 IPS |
|
|
Pose Estimation (HP)
|
98% |
1856
2.17 IPS |
|
|
Pose Estimation (Q)
|
70% |
1141
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
99% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
80% |
85
6.92 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
128
1.53 IPS |
|
|
Depth Estimation (SP)
|
84% |
683
5.35 IPS |
|
|
Depth Estimation (HP)
|
84% |
1545
12.1 IPS |
|
|
Depth Estimation (Q)
|
57% |
264
2.88 IPS |
|
|
Style Transfer (SP)
|
100% |
911
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
400
0.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1834
2.36 IPS |
|
|
Image Super-Resolution (SP)
|
98% |
461
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
97% |
475
17.6 IPS |
|
|
Text Classification (SP)
|
29% |
4
67.1 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.6 IPS |
|
|
Text Classification (Q)
|
93% |
74
98.8 IPS |
|
|
Machine Translation (SP)
|
100% |
156
2.69 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
55% |
104
2.76 IPS |
