QUALCOMM NoteAir4C
Geekbench AI Score
173
Single Precision Score
173
Half Precision Score
504
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 08:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | QUALCOMM NoteAir4C |
| Model ID | QUALCOMM NoteAir4C |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.07 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (Q)
|
96% |
486
90.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
736
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
184
0.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
4166
4.88 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.25 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.30 IPS |
|
|
Object Detection (Q)
|
84% |
641
51.7 IPS |
|
|
Face Detection (SP)
|
100% |
252
3.00 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.02 IPS |
|
|
Face Detection (Q)
|
97% |
1242
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
220
1.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
222
1.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
2419
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
371
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
371
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
6937
8.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
107
3.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
108
3.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
381
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
156
207.8 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.5 IPS |
|
|
Text Classification (Q)
|
93% |
140
187.3 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.32 IPS |
