INFINIX Infinix X6873
Geekbench AI Score
1662
Single Precision Score
1670
Half Precision Score
2809
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Kuwait |
| Upload Date | November 23 2025 04:38 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1472
273.7 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (Q)
|
100% |
2646
492.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2651
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2549
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2448
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
6141
7.28 IPS |
|
|
Object Detection (SP)
|
98% |
1251
99.5 IPS |
|
|
Object Detection (HP)
|
98% |
1241
98.8 IPS |
|
|
Object Detection (Q)
|
83% |
1982
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2374
28.2 IPS |
|
|
Face Detection (Q)
|
95% |
4651
55.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2341
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2442
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4031
36.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5329
6.92 IPS |
|
|
Style Transfer (HP)
|
89% |
5317
6.90 IPS |
|
|
Style Transfer (Q)
|
98% |
11177
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2574
95.4 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.2 IPS |
|
|
Text Classification (HP)
|
99% |
663
885.3 IPS |
|
|
Text Classification (Q)
|
88% |
1153
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
578
20.5 IPS |
