INFINIX Infinix X6857B
Geekbench AI Score
480
Single Precision Score
695
Half Precision Score
580
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 02:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6857B |
| Model ID | INFINIX Infinix X6857B |
| Motherboard | Infinix-X6857B |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 5.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
97% |
283
52.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
863
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
3763
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
99% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
83% |
348
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (Q)
|
96% |
1378
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1238
9.54 IPS |
|
|
Depth Estimation (HP)
|
98% |
2161
16.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1689
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3615
4.65 IPS |
|
|
Style Transfer (HP)
|
100% |
6409
8.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6285
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
979
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
925
34.3 IPS |
|
|
Text Classification (SP)
|
35% |
11
101.3 IPS |
|
|
Text Classification (HP)
|
29% |
7
123.8 IPS |
|
|
Text Classification (Q)
|
32% |
10
125.7 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
43% |
101
5.88 IPS |
