INFINIX Infinix X6855
Geekbench AI Score
384
Single Precision Score
375
Half Precision Score
672
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 02:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6855 |
| Model ID | INFINIX Infinix X6855 |
| Motherboard | Infinix-X6855 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
100% |
308
57.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
598
9.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
786
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1111
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (Q)
|
83% |
507
40.9 IPS |
|
|
Face Detection (SP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (HP)
|
100% |
464
5.51 IPS |
|
|
Face Detection (Q)
|
95% |
1057
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
761
5.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
768
5.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1085
9.94 IPS |
|
|
Style Transfer (SP)
|
89% |
1374
1.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1344
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3086
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
183
244.9 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.7 IPS |
|
|
Text Classification (Q)
|
88% |
319
430.8 IPS |
|
|
Machine Translation (SP)
|
100% |
385
6.62 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
50% |
257
9.11 IPS |
