HONOR PTP-N49
Geekbench AI Score
1232
Single Precision Score
2022
Half Precision Score
1973
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 12:27 PM |
| 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% |
695
129.2 IPS |
|
|
Image Classification (HP)
|
100% |
829
154.2 IPS |
|
|
Image Classification (Q)
|
99% |
733
136.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1633
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1638
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2786
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
2785
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (Q)
|
86% |
1088
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
3391
40.3 IPS |
|
|
Face Detection (Q)
|
97% |
3129
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1580
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4571
35.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3780
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5789
7.44 IPS |
|
|
Style Transfer (HP)
|
100% |
12380
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12280
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2088
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
645
861.5 IPS |
|
|
Text Classification (HP)
|
100% |
658
877.7 IPS |
|
|
Text Classification (Q)
|
91% |
1070
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (Q)
|
57% |
762
18.6 IPS |
