Nokia 8.3 5G
Geekbench AI Score
166
Single Precision Score
263
Half Precision Score
439
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | November 01 2024 01:46 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
180
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (Q)
|
97% |
780
145.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
842
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1283
1.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
6707
7.86 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.48 IPS |
|
|
Object Detection (Q)
|
85% |
668
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.01 IPS |
|
|
Face Detection (HP)
|
100% |
239
2.84 IPS |
|
|
Face Detection (Q)
|
97% |
2097
25.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
281
2.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
200
1.54 IPS |
|
|
Depth Estimation (Q)
|
22% |
149
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
476
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
345
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2169
2.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
562
20.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2734
101.3 IPS |
|
|
Text Classification (SP)
|
71% |
4
6.03 IPS |
|
|
Text Classification (HP)
|
100% |
142
190.1 IPS |
|
|
Text Classification (Q)
|
93% |
49
66.3 IPS |
|
|
Machine Translation (SP)
|
100% |
76
1.31 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
0
|
