Nokia 8.3 5G
Geekbench AI Score
192
Single Precision Score
190
Half Precision Score
409
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | November 01 2024 01:23 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 765G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Nokia 8.3 5G |
| Model ID | HMD Global Nokia 8.3 5G |
| Motherboard | BabyGroot |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
121
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
99% |
271
50.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
296
4.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
210
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
782
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.07 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.87 IPS |
|
|
Object Detection (Q)
|
87% |
288
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
279
3.31 IPS |
|
|
Face Detection (HP)
|
100% |
279
3.32 IPS |
|
|
Face Detection (Q)
|
97% |
582
6.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
238
1.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
523
4.75 IPS |
|
|
Style Transfer (SP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
390
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1151
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
115
4.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
425
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.1 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.4 IPS |
|
|
Text Classification (Q)
|
91% |
275
370.2 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (Q)
|
57% |
180
4.40 IPS |
