INFINIX Infinix X6853
Geekbench AI Score
342
Single Precision Score
539
Half Precision Score
445
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 06:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6853 |
| Model ID | INFINIX Infinix X6853 |
| Motherboard | Infinix-X6853 |
| 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% |
217
40.3 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (Q)
|
97% |
252
47.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
609
9.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1305
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2421
2.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
2386
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.1 IPS |
|
|
Object Detection (HP)
|
99% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
83% |
326
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (HP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
1186
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
936
7.21 IPS |
|
|
Depth Estimation (HP)
|
98% |
1803
13.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1418
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2193
2.82 IPS |
|
|
Style Transfer (HP)
|
100% |
4654
5.98 IPS |
|
|
Style Transfer (Q)
|
98% |
4547
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
35% |
8
69.3 IPS |
|
|
Text Classification (HP)
|
29% |
6
96.6 IPS |
|
|
Text Classification (Q)
|
32% |
7
94.5 IPS |
|
|
Machine Translation (SP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
43% |
52
3.02 IPS |
