HONOR PTP-N49
Geekbench AI Score
1008
Single Precision Score
1968
Half Precision Score
1915
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 04:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
691
128.5 IPS |
|
|
Image Classification (HP)
|
100% |
1602
298.0 IPS |
|
|
Image Classification (Q)
|
99% |
1544
288.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3716
60.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3054
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1634
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2781
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
2780
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (Q)
|
86% |
1314
105.6 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (Q)
|
97% |
5051
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1566
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4598
35.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3778
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5786
7.44 IPS |
|
|
Style Transfer (HP)
|
100% |
12456
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12322
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2082
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.2 IPS |
|
|
Text Classification (HP)
|
100% |
185
246.7 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.6 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.73 IPS |
|
|
Machine Translation (Q)
|
57% |
255
6.23 IPS |
