INFINIX Infinix X6873
Geekbench AI Score
1112
Single Precision Score
4477
Half Precision Score
4537
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | OSA |
| Upload Date | November 04 2025 07:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6873 |
| Model ID | INFINIX Infinix X6873 |
| Motherboard | Infinix-X6873 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1031
191.7 IPS |
|
|
Image Classification (HP)
|
100% |
4066
756.2 IPS |
|
|
Image Classification (Q)
|
99% |
7574
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3970
64.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1797
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9142
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17577
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
73012
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
4385
347.9 IPS |
|
|
Object Detection (Q)
|
86% |
5127
412.4 IPS |
|
|
Face Detection (SP)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
10215
121.4 IPS |
|
|
Face Detection (Q)
|
97% |
11239
134.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
831
6.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
19110
147.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
31128
295.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3317
4.26 IPS |
|
|
Style Transfer (HP)
|
100% |
618
0.79 IPS |
|
|
Style Transfer (Q)
|
30% |
484
7.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2617
96.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10342
381.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7096
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
94
125.6 IPS |
|
|
Text Classification (HP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (Q)
|
93% |
1641
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
60% |
368
8.29 IPS |
