ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench ML Score
13110
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 05 2024 12:40 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI |
| Motherboard | ASUSTeK COMPUTER INC. H7606WI |
| Power Plan | Standard |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7606
1.42 KIPS |
|
|
Image Classification (F16)
|
100% |
7814
1.46 KIPS |
|
|
Image Classification (I8)
|
100% |
6849
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12932
216.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
9319
155.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
8071
134.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
70911
85.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
78072
94.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
67644
81.9 IPS |
|
|
Object Detection (F32)
|
100% |
4208
314.2 IPS |
|
|
Object Detection (F16)
|
100% |
4672
348.8 IPS |
|
|
Object Detection (I8)
|
63% |
4088
305.2 IPS |
|
|
Face Detection (F32)
|
100% |
16296
193.8 IPS |
|
|
Face Detection (F16)
|
100% |
18374
218.5 IPS |
|
|
Face Detection (I8)
|
89% |
14759
175.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
41656
323.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
24386
189.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
31304
242.8 IPS |
|
|
Style Transfer (F32)
|
100% |
172157
226.5 IPS |
|
|
Style Transfer (F16)
|
100% |
108674
143.0 IPS |
|
|
Style Transfer (I8)
|
98% |
106058
139.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21144
755.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20498
732.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16895
603.4 IPS |
|
|
Text Classification (F32)
|
100% |
2160
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
2139
3.07 KIPS |
|
|
Text Classification (I8)
|
98% |
1280
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
3734
68.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3764
69.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1671
30.7 IPS |
