INFINIX Infinix X6873
Geekbench AI Score
1106
Single Precision Score
4449
Half Precision Score
4528
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Kuwait |
| Upload Date | July 11 2025 01:01 AM |
| Views | 8 |
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% |
1021
189.9 IPS |
|
|
Image Classification (HP)
|
100% |
4049
753.0 IPS |
|
|
Image Classification (Q)
|
99% |
7350
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4026
65.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1784
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9132
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17655
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
72893
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (HP)
|
100% |
4232
335.7 IPS |
|
|
Object Detection (Q)
|
86% |
5080
408.6 IPS |
|
|
Face Detection (SP)
|
100% |
3426
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
10329
122.7 IPS |
|
|
Face Detection (Q)
|
97% |
11270
134.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
834
6.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
18991
146.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
31086
295.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3250
4.18 IPS |
|
|
Style Transfer (HP)
|
100% |
604
0.78 IPS |
|
|
Style Transfer (Q)
|
30% |
483
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2589
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10264
379.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6969
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
94
125.4 IPS |
|
|
Text Classification (HP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (Q)
|
93% |
1638
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
60% |
387
8.71 IPS |
