INFINIX Infinix X6873
Geekbench AI Score
942
Single Precision Score
1274
Half Precision Score
989
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | OSA |
| Upload Date | November 04 2025 07:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
583
108.5 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (Q)
|
97% |
593
110.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2384
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6564
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
10685
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10178
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
390
31.0 IPS |
|
|
Object Detection (HP)
|
99% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
83% |
503
40.7 IPS |
|
|
Face Detection (SP)
|
100% |
2043
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (Q)
|
96% |
2484
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2703
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4562
35.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
2944
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10495
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15787
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16492
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1512
56.0 IPS |
|
|
Text Classification (SP)
|
35% |
12
112.6 IPS |
|
|
Text Classification (HP)
|
35% |
16
142.1 IPS |
|
|
Text Classification (Q)
|
29% |
8
137.9 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.09 IPS |
|
|
Machine Translation (Q)
|
43% |
85
4.91 IPS |
