HONOR PTP-N49
Geekbench AI Score
2732
Single Precision Score
2730
Half Precision Score
4973
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 12:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm SM8750 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR PTP-N49 |
| Model ID | HONOR PTP-N49 |
| Motherboard | PTP |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm SM8750 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1779
330.8 IPS |
|
|
Image Classification (HP)
|
100% |
2187
406.7 IPS |
|
|
Image Classification (Q)
|
100% |
4383
815.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5805
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5135
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4801
5.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
12022
14.3 IPS |
|
|
Object Detection (SP)
|
98% |
1671
133.0 IPS |
|
|
Object Detection (HP)
|
98% |
1678
133.5 IPS |
|
|
Object Detection (Q)
|
83% |
3940
318.3 IPS |
|
|
Face Detection (SP)
|
100% |
4359
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4229
50.2 IPS |
|
|
Face Detection (Q)
|
95% |
9618
114.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4311
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4313
33.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9809
89.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10637
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10313
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21498
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2301
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2240
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6439
238.6 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1052
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
559
19.8 IPS |
