HONOR PTP-N49
Geekbench AI Score
1577
Single Precision Score
1561
Half Precision Score
2518
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 04:31 AM |
| Views | 4 |
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 | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
1568
291.6 IPS |
|
|
Image Classification (Q)
|
100% |
1613
300.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2301
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4610
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5248
6.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
6123
7.26 IPS |
|
|
Object Detection (SP)
|
98% |
1364
108.5 IPS |
|
|
Object Detection (HP)
|
98% |
1704
135.6 IPS |
|
|
Object Detection (Q)
|
83% |
1628
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
2194
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (Q)
|
95% |
8976
107.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3567
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2152
16.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4136
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5261
6.83 IPS |
|
|
Style Transfer (HP)
|
89% |
5234
6.79 IPS |
|
|
Style Transfer (Q)
|
98% |
11493
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2719
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
361
482.2 IPS |
|
|
Text Classification (HP)
|
99% |
358
477.3 IPS |
|
|
Text Classification (Q)
|
88% |
495
667.3 IPS |
|
|
Machine Translation (SP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (HP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.2 IPS |
