HONOR PTP-N49
Geekbench AI Score
1361
Single Precision Score
1355
Half Precision Score
2160
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 10:29 AM |
| 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% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (Q)
|
100% |
1609
299.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2297
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2512
2.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
6107
7.24 IPS |
|
|
Object Detection (SP)
|
98% |
800
63.7 IPS |
|
|
Object Detection (HP)
|
98% |
827
65.8 IPS |
|
|
Object Detection (Q)
|
83% |
1636
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (Q)
|
95% |
4044
48.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2126
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2120
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4164
38.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5261
6.83 IPS |
|
|
Style Transfer (HP)
|
89% |
5368
6.97 IPS |
|
|
Style Transfer (Q)
|
98% |
10990
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2402
89.0 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.6 IPS |
|
|
Text Classification (HP)
|
99% |
418
558.5 IPS |
|
|
Text Classification (Q)
|
88% |
410
553.4 IPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
329
11.7 IPS |
