INFINIX Infinix X6857B
Geekbench AI Score
534
Single Precision Score
1286
Half Precision Score
2635
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 02:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
100% |
1493
277.7 IPS |
|
|
Image Classification (Q)
|
99% |
4422
824.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2044
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6668
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
26951
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (Q)
|
86% |
2145
172.5 IPS |
|
|
Face Detection (SP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
8937
106.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
6826
52.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
14253
135.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1678
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
303
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
381
5.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3941
145.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2994
436.0 IPS |
|
|
Text Classification (SP)
|
100% |
69
91.6 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.3 IPS |
|
|
Text Classification (Q)
|
93% |
1261
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.92 IPS |
|
|
Machine Translation (Q)
|
53% |
169
4.86 IPS |
