INFINIX Infinix X666
Geekbench AI Score
540
Single Precision Score
544
Half Precision Score
1002
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 01:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833V/PNZA |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | INFINIX Infinix X666 |
| Model ID | INFINIX Infinix X666 |
| Motherboard | Infinix-X666 |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/PNZA |
| 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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.1 IPS |
|
|
Image Classification (Q)
|
100% |
696
129.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1169
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1773
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
83% |
682
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (HP)
|
100% |
752
8.93 IPS |
|
|
Face Detection (Q)
|
95% |
1593
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
901
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
970
7.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1631
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1984
2.58 IPS |
|
|
Style Transfer (HP)
|
89% |
1987
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
3515
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
985
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.1 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.1 IPS |
|
|
Text Classification (Q)
|
88% |
505
680.7 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
