INFINIX Infinix X6528
Geekbench AI Score
133
Single Precision Score
143
Half Precision Score
153
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 22 2024 05:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | INFINIX Infinix X6528 |
| Model ID | INFINIX Infinix X6528 |
| Motherboard | Infinix-X6528 |
| 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% |
79
14.7 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (Q)
|
99% |
107
19.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
141
2.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
467
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
427
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
41
3.29 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.30 IPS |
|
|
Object Detection (Q)
|
89% |
79
6.29 IPS |
|
|
Face Detection (SP)
|
100% |
262
3.12 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.15 IPS |
|
|
Face Detection (Q)
|
97% |
203
2.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
100% |
370
2.85 IPS |
|
|
Depth Estimation (Q)
|
82% |
386
3.04 IPS |
|
|
Style Transfer (SP)
|
100% |
330
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
188
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
561
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
214
7.92 IPS |
|
|
Text Classification (SP)
|
100% |
25
33.9 IPS |
|
|
Text Classification (HP)
|
100% |
59
79.0 IPS |
|
|
Text Classification (Q)
|
93% |
32
42.8 IPS |
|
|
Machine Translation (SP)
|
100% |
74
1.27 IPS |
|
|
Machine Translation (HP)
|
100% |
105
1.81 IPS |
|
|
Machine Translation (Q)
|
55% |
48
1.28 IPS |
