Nokia 8.3 5G
Geekbench AI Score
200
Single Precision Score
200
Half Precision Score
426
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | November 22 2025 02:48 PM |
| Views | 11 |
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
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
271
50.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
296
4.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
219
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
819
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.62 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.71 IPS |
|
|
Object Detection (Q)
|
87% |
301
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (HP)
|
100% |
302
3.58 IPS |
|
|
Face Detection (Q)
|
97% |
611
7.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
252
1.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
572
5.19 IPS |
|
|
Style Transfer (SP)
|
100% |
416
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
417
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1198
1.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
123
4.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
446
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
178
238.0 IPS |
|
|
Text Classification (HP)
|
100% |
181
242.0 IPS |
|
|
Text Classification (Q)
|
91% |
288
387.6 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (Q)
|
57% |
186
4.54 IPS |
