Upload Date | February 06 2025 07:50 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 | DirectML |
Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
7645
1.43 KIPS |
|
Image Classification (F16)
|
100% |
7966
1.49 KIPS |
|
Image Classification (I8)
|
100% |
7024
1.31 KIPS |
|
Image Segmentation (F32)
|
100% |
10016
167.3 IPS |
|
Image Segmentation (F16)
|
100% |
9921
165.7 IPS |
|
Image Segmentation (I8)
|
98% |
8806
147.1 IPS |
|
Pose Estimation (F32)
|
100% |
80034
96.9 IPS |
|
Pose Estimation (F16)
|
100% |
80246
97.2 IPS |
|
Pose Estimation (I8)
|
100% |
68208
82.6 IPS |
|
Object Detection (F32)
|
100% |
4613
344.4 IPS |
|
Object Detection (F16)
|
100% |
4807
358.9 IPS |
|
Object Detection (I8)
|
63% |
3347
249.9 IPS |
|
Face Detection (F32)
|
100% |
16463
195.7 IPS |
|
Face Detection (F16)
|
100% |
16430
195.4 IPS |
|
Face Detection (I8)
|
89% |
14630
174.0 IPS |
|
Depth Estimation (F32)
|
100% |
26463
205.2 IPS |
|
Depth Estimation (F16)
|
100% |
26396
204.7 IPS |
|
Depth Estimation (I8)
|
95% |
21539
167.0 IPS |
|
Style Transfer (F32)
|
100% |
113143
148.8 IPS |
|
Style Transfer (F16)
|
100% |
120269
158.2 IPS |
|
Style Transfer (I8)
|
98% |
106431
140.0 IPS |
|
Image Super-Resolution (F32)
|
100% |
25210
900.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
21199
757.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
17575
627.7 IPS |
|
Text Classification (F32)
|
100% |
2169
3.12 KIPS |
|
Text Classification (F16)
|
100% |
2184
3.14 KIPS |
|
Text Classification (I8)
|
98% |
1305
1.87 KIPS |
|
Machine Translation (F32)
|
100% |
3934
72.4 IPS |
|
Machine Translation (F16)
|
100% |
3939
72.5 IPS |
|
Machine Translation (I8)
|
70% |
1709
31.5 IPS |