INFINIX Infinix X669C
Geekbench AI Score
166
Single Precision Score
157
Half Precision Score
152
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | September 01 2024 10:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765H |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | INFINIX Infinix X669C |
| Model ID | INFINIX Infinix X669C |
| Motherboard | Infinix-X669C |
| CPU Information | |
|---|---|
| Name | ARM MT6765H |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 3.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.8 IPS |
|
|
Image Classification (Q)
|
100% |
87
16.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
181
2.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
406
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
393
0.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
242
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.98 IPS |
|
|
Object Detection (HP)
|
100% |
72
5.74 IPS |
|
|
Object Detection (Q)
|
87% |
94
7.52 IPS |
|
|
Face Detection (SP)
|
100% |
218
2.59 IPS |
|
|
Face Detection (HP)
|
100% |
205
2.44 IPS |
|
|
Face Detection (Q)
|
95% |
269
3.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
100% |
229
1.76 IPS |
|
|
Depth Estimation (Q)
|
75% |
262
2.12 IPS |
|
|
Style Transfer (SP)
|
89% |
698
0.91 IPS |
|
|
Style Transfer (HP)
|
89% |
690
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
630
0.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
127
4.70 IPS |
|
|
Text Classification (SP)
|
100% |
70
94.0 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.8 IPS |
|
|
Text Classification (Q)
|
88% |
75
100.5 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.09 IPS |
|
|
Machine Translation (HP)
|
100% |
117
2.01 IPS |
|
|
Machine Translation (Q)
|
50% |
46
1.64 IPS |
