INFINIX Infinix X6826B
Geekbench AI Score
99
Single Precision Score
140
Half Precision Score
133
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 02:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | INFINIX Infinix X6826B |
| Model ID | INFINIX Infinix X6826B |
| Motherboard | Infinix-X6826B |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
75
14.0 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.4 IPS |
|
|
Image Classification (Q)
|
99% |
117
21.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
93
1.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
146
2.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
59
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
81
0.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
81
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
58
4.58 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (Q)
|
83% |
91
7.39 IPS |
|
|
Face Detection (SP)
|
100% |
226
2.68 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.96 IPS |
|
|
Face Detection (Q)
|
97% |
305
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
122
0.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.40 IPS |
|
|
Depth Estimation (Q)
|
62% |
138
1.30 IPS |
|
|
Style Transfer (SP)
|
100% |
239
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
374
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
372
0.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68
2.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
101
3.75 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.7 IPS |
|
|
Text Classification (HP)
|
100% |
72
96.4 IPS |
|
|
Text Classification (Q)
|
91% |
103
138.6 IPS |
|
|
Machine Translation (SP)
|
100% |
128
2.20 IPS |
|
|
Machine Translation (HP)
|
100% |
128
2.21 IPS |
|
|
Machine Translation (Q)
|
57% |
89
2.18 IPS |
