Acer Predator PHN16-71
Geekbench ML Score
6596
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Acer Predator PHN16-71 |
| Motherboard | RPL Compass_RTX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2885
539.9 IPS |
|
|
Image Classification (F16)
|
100% |
2883
539.6 IPS |
|
|
Image Classification (I8)
|
100% |
2667
499.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3861
64.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3811
63.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3688
61.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
64978
78.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
65651
79.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
59120
71.6 IPS |
|
|
Object Detection (F32)
|
100% |
1299
97.0 IPS |
|
|
Object Detection (F16)
|
100% |
1310
97.8 IPS |
|
|
Object Detection (I8)
|
63% |
1226
91.5 IPS |
|
|
Face Detection (F32)
|
100% |
8367
99.5 IPS |
|
|
Face Detection (F16)
|
100% |
8429
100.2 IPS |
|
|
Face Detection (I8)
|
89% |
7605
90.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
22707
176.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
22602
175.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
20055
155.5 IPS |
|
|
Style Transfer (F32)
|
100% |
94682
124.5 IPS |
|
|
Style Transfer (F16)
|
100% |
94558
124.4 IPS |
|
|
Style Transfer (I8)
|
98% |
87904
115.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13879
495.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13870
495.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11447
408.8 IPS |
|
|
Text Classification (F32)
|
100% |
1071
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1081
1.55 KIPS |
|
|
Text Classification (I8)
|
98% |
667
958.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1002
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1020
18.8 IPS |
|
|
Machine Translation (I8)
|
70% |
795
14.6 IPS |
