INFINIX Infinix X6528B
Geekbench AI Score
356
Single Precision Score
361
Half Precision Score
644
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 11:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | INFINIX Infinix X6528B |
| Model ID | INFINIX Infinix X6528B |
| Motherboard | Infinix-X6528B |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 7.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
178
33.2 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
100% |
473
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
491
7.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
829
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
780
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
1333
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
453
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (Q)
|
95% |
1162
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
458
3.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
617
4.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1218
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1645
2.14 IPS |
|
|
Style Transfer (HP)
|
89% |
1652
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3127
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
302
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
699
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.9 IPS |
|
|
Text Classification (Q)
|
88% |
217
292.6 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
50% |
132
4.69 IPS |
