ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench ML Score
6765
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 05 2024 12:39 PM |
| Views | 2 |
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 | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3113
582.5 IPS |
|
|
Image Classification (F16)
|
100% |
2904
543.3 IPS |
|
|
Image Classification (I8)
|
100% |
2612
488.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4353
72.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4130
69.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3323
55.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
44289
53.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
46902
56.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
34226
41.4 IPS |
|
|
Object Detection (F32)
|
100% |
1799
134.3 IPS |
|
|
Object Detection (F16)
|
100% |
1740
129.9 IPS |
|
|
Object Detection (I8)
|
62% |
1524
113.7 IPS |
|
|
Face Detection (F32)
|
100% |
6007
71.4 IPS |
|
|
Face Detection (F16)
|
100% |
6122
72.8 IPS |
|
|
Face Detection (I8)
|
89% |
4738
56.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
17398
134.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
16788
130.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
13421
104.1 IPS |
|
|
Style Transfer (F32)
|
100% |
69939
92.0 IPS |
|
|
Style Transfer (F16)
|
100% |
73591
96.8 IPS |
|
|
Style Transfer (I8)
|
98% |
49629
65.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10685
381.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9387
335.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7331
261.8 IPS |
|
|
Text Classification (F32)
|
100% |
2490
3.58 KIPS |
|
|
Text Classification (F16)
|
100% |
2465
3.54 KIPS |
|
|
Text Classification (I8)
|
98% |
1784
2.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
2712
49.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2699
49.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1652
30.4 IPS |
