ASUSTeK COMPUTER INC. ProArt P16 H7606WV_H7606WV
Geekbench ML Score
12103
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 10 2024 05:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WV_H7606WV |
| Motherboard | ASUSTeK COMPUTER INC. H7606WV |
| Power Plan | Performance |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6265
1.17 KIPS |
|
|
Image Classification (F16)
|
100% |
6062
1.13 KIPS |
|
|
Image Classification (I8)
|
100% |
5677
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8933
149.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8733
145.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
8164
136.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
63466
76.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
64602
78.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
57143
69.2 IPS |
|
|
Object Detection (F32)
|
100% |
4582
342.1 IPS |
|
|
Object Detection (F16)
|
100% |
4734
353.5 IPS |
|
|
Object Detection (I8)
|
61% |
4135
308.7 IPS |
|
|
Face Detection (F32)
|
100% |
16756
199.2 IPS |
|
|
Face Detection (F16)
|
100% |
16470
195.8 IPS |
|
|
Face Detection (I8)
|
89% |
14929
177.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
36138
280.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
28476
220.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
23732
184.0 IPS |
|
|
Style Transfer (F32)
|
100% |
107049
140.8 IPS |
|
|
Style Transfer (F16)
|
100% |
106745
140.4 IPS |
|
|
Style Transfer (I8)
|
98% |
90820
119.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21139
754.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20126
718.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15198
542.8 IPS |
|
|
Text Classification (F32)
|
100% |
2184
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1338
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
3661
67.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3671
67.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1928
35.5 IPS |
