INFINIX Infinix X6528B
Geekbench AI Score
53
Single Precision Score
74
Half Precision Score
72
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 12:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
33
6.19 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.4 IPS |
|
|
Image Classification (Q)
|
99% |
60
11.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
48
0.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
85
1.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
83
1.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
31
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
37
0.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
37
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
28
2.21 IPS |
|
|
Object Detection (HP)
|
100% |
48
3.78 IPS |
|
|
Object Detection (Q)
|
83% |
47
3.83 IPS |
|
|
Face Detection (SP)
|
100% |
108
1.28 IPS |
|
|
Face Detection (HP)
|
100% |
164
1.95 IPS |
|
|
Face Detection (Q)
|
97% |
158
1.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
59
0.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
78
0.60 IPS |
|
|
Depth Estimation (Q)
|
62% |
63
0.60 IPS |
|
|
Style Transfer (SP)
|
100% |
118
0.15 IPS |
|
|
Style Transfer (HP)
|
100% |
164
0.21 IPS |
|
|
Style Transfer (Q)
|
98% |
163
0.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31
1.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47
1.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
47
1.74 IPS |
|
|
Text Classification (SP)
|
100% |
59
79.3 IPS |
|
|
Text Classification (HP)
|
100% |
59
79.3 IPS |
|
|
Text Classification (Q)
|
91% |
84
112.8 IPS |
|
|
Machine Translation (SP)
|
100% |
104
1.78 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.80 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.82 IPS |
