INFINIX Infinix X6833B
Geekbench AI Score
517
Single Precision Score
520
Half Precision Score
959
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Arty48 |
| Upload Date | April 13 2025 11:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | INFINIX Infinix X6833B |
| Model ID | INFINIX Infinix X6833B |
| Motherboard | Infinix-X6833B |
| 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% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
100% |
658
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1139
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1137
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1655
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
656
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
735
8.74 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (Q)
|
95% |
1487
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
934
7.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1526
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1914
2.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1909
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3793
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
920
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
278
370.5 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.7 IPS |
|
|
Text Classification (Q)
|
88% |
492
663.2 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
