HONOR PTP-AN00
Geekbench ML Score
595
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | January 26 2025 07:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | HONOR PTP-AN00 |
| Model ID | HONOR PTP-AN00 |
| 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 | 14.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
651
69.8 IPS |
|
|
Image Classification (F16)
|
100% |
552
59.2 IPS |
|
|
Image Classification (I8)
|
81% |
224
24.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
714
4.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
707
4.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
957
5.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
391
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
325
1.32 IPS |
|
|
Object Detection (F32)
|
100% |
849
29.8 IPS |
|
|
Object Detection (F16)
|
100% |
847
29.7 IPS |
|
|
Object Detection (I8)
|
52% |
415
14.6 IPS |
|
|
Face Detection (F32)
|
100% |
1025
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
1028
11.8 IPS |
|
|
Face Detection (I8)
|
75% |
1291
14.8 IPS |
|
|
Text Classification (F32)
|
100% |
380
150.2 IPS |
|
|
Text Classification (F16)
|
100% |
345
136.4 IPS |
|
|
Machine Translation (F32)
|
100% |
704
108.6 IPS |
|
|
Machine Translation (F16)
|
100% |
728
112.3 IPS |
