INFINIX Infinix X6873
Geekbench AI Score
677
Single Precision Score
764
Half Precision Score
773
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 12:03 PM |
| Views | 2 |
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% |
476
88.5 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
99% |
386
71.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
982
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
957
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
951
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
83% |
384
31.1 IPS |
|
|
Face Detection (SP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1648
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1137
8.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
1328
10.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1100
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3417
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
4157
5.34 IPS |
|
|
Style Transfer (Q)
|
98% |
4202
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
858
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.6 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.7 IPS |
|
|
Text Classification (Q)
|
91% |
341
458.3 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.90 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (Q)
|
57% |
249
6.09 IPS |
