INFINIX Infinix X6873
Geekbench AI Score
943
Single Precision Score
1185
Half Precision Score
989
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Kuwait |
| Upload Date | November 23 2025 04:53 PM |
| Views | 9 |
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% |
335
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.8 IPS |
|
|
Image Classification (Q)
|
97% |
399
74.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2115
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6517
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
11631
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11054
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (HP)
|
99% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
83% |
552
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (Q)
|
96% |
2585
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2837
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4056
31.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3436
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10576
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17272
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16016
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1510
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1303
48.3 IPS |
|
|
Text Classification (SP)
|
35% |
13
115.9 IPS |
|
|
Text Classification (HP)
|
29% |
8
142.1 IPS |
|
|
Text Classification (Q)
|
32% |
11
144.6 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (Q)
|
43% |
86
5.02 IPS |
