INFINIX Infinix X676B
Geekbench AI Score
505
Single Precision Score
486
Half Precision Score
955
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 21 2024 06:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | INFINIX Infinix X676B |
| Model ID | INFINIX Infinix X676B |
| Motherboard | Infinix-X676B |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
100% |
653
121.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1608
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
87% |
651
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (Q)
|
95% |
1489
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
962
7.41 IPS |
|
|
Depth Estimation (HP)
|
100% |
665
5.12 IPS |
|
|
Depth Estimation (Q)
|
75% |
1678
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1770
2.30 IPS |
|
|
Style Transfer (HP)
|
89% |
1765
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3703
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
891
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.5 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.6 IPS |
|
|
Text Classification (Q)
|
88% |
467
629.9 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
