INFINIX Infinix X6873
Geekbench AI Score
1630
Single Precision Score
1611
Half Precision Score
2605
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | OSA |
| Upload Date | November 04 2025 06:59 PM |
| Views | 6 |
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% |
1464
272.3 IPS |
|
|
Image Classification (HP)
|
100% |
1425
264.9 IPS |
|
|
Image Classification (Q)
|
100% |
2498
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1514
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2241
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2542
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2451
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
5293
6.28 IPS |
|
|
Object Detection (SP)
|
98% |
1129
89.9 IPS |
|
|
Object Detection (HP)
|
98% |
1160
92.3 IPS |
|
|
Object Detection (Q)
|
83% |
1726
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (Q)
|
95% |
3894
46.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2057
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2019
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4012
36.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5464
7.09 IPS |
|
|
Style Transfer (HP)
|
89% |
5528
7.18 IPS |
|
|
Style Transfer (Q)
|
98% |
11115
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2615
96.9 IPS |
|
|
Text Classification (SP)
|
100% |
576
769.4 IPS |
|
|
Text Classification (HP)
|
99% |
552
736.9 IPS |
|
|
Text Classification (Q)
|
88% |
1035
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
599
21.3 IPS |
