HONOR PGT-N19
Geekbench AI Score
467
Single Precision Score
469
Half Precision Score
1048
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Annihilator |
| Upload Date | January 01 2025 11:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR PGT-N19 |
| Model ID | HONOR PGT-N19 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
299
55.5 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
99% |
754
140.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
759
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1951
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
87% |
774
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (HP)
|
100% |
680
8.07 IPS |
|
|
Face Detection (Q)
|
97% |
1492
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
589
4.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
592
4.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1402
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
961
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
959
1.23 IPS |
|
|
Style Transfer (Q)
|
98% |
2365
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1106
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
423
565.2 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.8 IPS |
|
|
Text Classification (Q)
|
91% |
677
910.4 IPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
503
12.3 IPS |
