INFINIX Infinix X6873
Geekbench AI Score
1131
Single Precision Score
4519
Half Precision Score
4571
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Kuwait |
| Upload Date | November 23 2025 05:01 PM |
| Views | 9 |
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% |
997
185.4 IPS |
|
|
Image Classification (HP)
|
100% |
4133
768.6 IPS |
|
|
Image Classification (Q)
|
99% |
7580
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4052
65.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1788
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9087
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17516
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
72716
85.2 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (HP)
|
100% |
4231
335.6 IPS |
|
|
Object Detection (Q)
|
86% |
5176
416.4 IPS |
|
|
Face Detection (SP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
10551
125.4 IPS |
|
|
Face Detection (Q)
|
97% |
11326
135.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
900
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
19062
146.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
31425
298.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3468
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
682
0.88 IPS |
|
|
Style Transfer (Q)
|
30% |
538
8.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2543
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10169
375.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6999
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
91
121.1 IPS |
|
|
Text Classification (HP)
|
100% |
1586
2.12 KIPS |
|
|
Text Classification (Q)
|
93% |
1611
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
60% |
362
8.14 IPS |
