INFINIX Infinix X6873
Geekbench AI Score
1716
Single Precision Score
1683
Half Precision Score
2838
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 01:45 AM |
| Views | 1 |
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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (Q)
|
100% |
2461
457.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2491
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2730
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2571
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
6155
7.30 IPS |
|
|
Object Detection (SP)
|
98% |
1274
101.4 IPS |
|
|
Object Detection (HP)
|
98% |
1256
100.0 IPS |
|
|
Object Detection (Q)
|
83% |
1988
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2328
27.7 IPS |
|
|
Face Detection (Q)
|
95% |
4491
53.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2288
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2201
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4461
40.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6151
7.99 IPS |
|
|
Style Transfer (HP)
|
89% |
6204
8.05 IPS |
|
|
Style Transfer (Q)
|
98% |
11282
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1028
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2691
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
642
856.8 IPS |
|
|
Text Classification (HP)
|
99% |
652
870.7 IPS |
|
|
Text Classification (Q)
|
88% |
1150
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
648
23.0 IPS |
