INFINIX Infinix X6856
Geekbench AI Score
1524
Single Precision Score
1499
Half Precision Score
2396
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 01:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6856 |
| Model ID | INFINIX Infinix X6856 |
| Motherboard | Infinix-X6856 |
| 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% |
1355
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
100% |
2496
464.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1354
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2224
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2076
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
5005
5.94 IPS |
|
|
Object Detection (SP)
|
98% |
1069
85.1 IPS |
|
|
Object Detection (HP)
|
98% |
1006
80.1 IPS |
|
|
Object Detection (Q)
|
83% |
1593
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2141
25.4 IPS |
|
|
Face Detection (Q)
|
95% |
3788
45.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2123
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2042
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3453
31.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4769
6.19 IPS |
|
|
Style Transfer (HP)
|
89% |
4798
6.23 IPS |
|
|
Style Transfer (Q)
|
98% |
9247
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2224
82.4 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.8 IPS |
|
|
Text Classification (HP)
|
99% |
591
789.4 IPS |
|
|
Text Classification (Q)
|
88% |
1006
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
521
18.5 IPS |
