INFINIX Infinix X6873
Geekbench AI Score
1103
Single Precision Score
4436
Half Precision Score
4450
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 12:44 AM |
| Views | 2 |
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% |
1015
188.7 IPS |
|
|
Image Classification (HP)
|
100% |
4068
756.5 IPS |
|
|
Image Classification (Q)
|
99% |
7441
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4016
65.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1786
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9224
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17543
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
72509
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (HP)
|
100% |
4188
332.2 IPS |
|
|
Object Detection (Q)
|
86% |
4854
390.4 IPS |
|
|
Face Detection (SP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
10122
120.3 IPS |
|
|
Face Detection (Q)
|
97% |
11154
133.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
850
6.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
18966
146.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
30845
292.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3271
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
604
0.78 IPS |
|
|
Style Transfer (Q)
|
30% |
477
7.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2565
94.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10223
377.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6939
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
91
121.9 IPS |
|
|
Text Classification (HP)
|
100% |
1578
2.11 KIPS |
|
|
Text Classification (Q)
|
93% |
1556
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (Q)
|
60% |
368
8.30 IPS |
