HONOR PTP-N49
Geekbench AI Score
1356
Single Precision Score
1367
Half Precision Score
2209
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 06:53 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% |
1789
332.8 IPS |
|
|
Image Classification (HP)
|
100% |
1761
327.5 IPS |
|
|
Image Classification (Q)
|
100% |
1486
276.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2102
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2454
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2456
2.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
5993
7.11 IPS |
|
|
Object Detection (SP)
|
98% |
768
61.1 IPS |
|
|
Object Detection (HP)
|
98% |
805
64.0 IPS |
|
|
Object Detection (Q)
|
83% |
1693
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2172
25.8 IPS |
|
|
Face Detection (Q)
|
95% |
3862
46.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2092
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2121
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4466
40.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5220
6.78 IPS |
|
|
Style Transfer (HP)
|
89% |
5148
6.68 IPS |
|
|
Style Transfer (Q)
|
98% |
11695
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2627
97.3 IPS |
|
|
Text Classification (SP)
|
100% |
360
480.7 IPS |
|
|
Text Classification (HP)
|
99% |
385
514.4 IPS |
|
|
Text Classification (Q)
|
88% |
508
685.6 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
325
11.5 IPS |
