INFINIX Infinix X6528B
Geekbench AI Score
356
Single Precision Score
366
Half Precision Score
648
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 07:49 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% |
177
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
100% |
485
90.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
597
9.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
833
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
827
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1330
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
451
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.58 IPS |
|
|
Face Detection (HP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (Q)
|
95% |
1157
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
552
4.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
1066
9.76 IPS |
|
|
Style Transfer (SP)
|
89% |
1665
2.16 IPS |
|
|
Style Transfer (HP)
|
89% |
1673
2.17 IPS |
|
|
Style Transfer (Q)
|
98% |
3119
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
685
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.3 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.3 IPS |
|
|
Text Classification (Q)
|
88% |
219
295.9 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
50% |
132
4.69 IPS |
