INFINIX Infinix X6528B
Geekbench AI Score
131
Single Precision Score
142
Half Precision Score
152
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 12:00 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
78
14.5 IPS |
|
|
Image Classification (HP)
|
100% |
80
15.0 IPS |
|
|
Image Classification (Q)
|
99% |
107
19.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
102
1.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
141
2.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
428
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
42
3.30 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.32 IPS |
|
|
Object Detection (Q)
|
87% |
78
6.28 IPS |
|
|
Face Detection (SP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (HP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
363
2.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
364
2.81 IPS |
|
|
Depth Estimation (Q)
|
66% |
346
3.03 IPS |
|
|
Style Transfer (SP)
|
100% |
325
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
188
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
560
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
214
7.92 IPS |
|
|
Text Classification (SP)
|
100% |
22
28.7 IPS |
|
|
Text Classification (HP)
|
100% |
59
78.9 IPS |
|
|
Text Classification (Q)
|
93% |
34
45.4 IPS |
|
|
Machine Translation (SP)
|
100% |
72
1.23 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.79 IPS |
|
|
Machine Translation (Q)
|
55% |
48
1.28 IPS |
