Upload Date | February 06 2025 07:33 AM |
Views | 6 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI |
Motherboard | ASUSTeK COMPUTER INC. GA605WI |
Power Plan | Balanced |
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 | 5.33 MB x 3 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1417
265.2 IPS |
|
Image Classification (F16)
|
100% |
1436
268.8 IPS |
|
Image Classification (I8)
|
99% |
3884
726.8 IPS |
|
Image Segmentation (F32)
|
100% |
917
15.3 IPS |
|
Image Segmentation (F16)
|
100% |
932
15.6 IPS |
|
Image Segmentation (I8)
|
98% |
2886
48.2 IPS |
|
Pose Estimation (F32)
|
100% |
7224
8.75 IPS |
|
Pose Estimation (F16)
|
100% |
7201
8.72 IPS |
|
Pose Estimation (I8)
|
100% |
27313
33.1 IPS |
|
Object Detection (F32)
|
100% |
1584
118.2 IPS |
|
Object Detection (F16)
|
100% |
1605
119.8 IPS |
|
Object Detection (I8)
|
62% |
1893
141.3 IPS |
|
Face Detection (F32)
|
100% |
3179
37.8 IPS |
|
Face Detection (F16)
|
100% |
3187
37.9 IPS |
|
Face Detection (I8)
|
89% |
5703
67.8 IPS |
|
Depth Estimation (F32)
|
100% |
6604
51.2 IPS |
|
Depth Estimation (F16)
|
100% |
6607
51.2 IPS |
|
Depth Estimation (I8)
|
96% |
16748
129.9 IPS |
|
Style Transfer (F32)
|
100% |
15696
20.6 IPS |
|
Style Transfer (F16)
|
100% |
16092
21.2 IPS |
|
Style Transfer (I8)
|
98% |
30709
40.4 IPS |
|
Image Super-Resolution (F32)
|
100% |
2846
101.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
2900
103.6 IPS |
|
Image Super-Resolution (I8)
|
99% |
4577
163.5 IPS |
|
Text Classification (F32)
|
100% |
1393
2.00 KIPS |
|
Text Classification (F16)
|
100% |
1390
2.00 KIPS |
|
Text Classification (I8)
|
98% |
1165
1.67 KIPS |
|
Machine Translation (F32)
|
100% |
2299
42.3 IPS |
|
Machine Translation (F16)
|
100% |
2346
43.2 IPS |
|
Machine Translation (I8)
|
67% |
3265
60.1 IPS |