Upload Date | July 16 2025 03:39 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UH_GA403UH |
Motherboard | ASUSTeK COMPUTER INC. GA403UH |
Power Plan | Turbo |
CPU Information | |
---|---|
Name | AMD Ryzen 9 270 w/ Radeon 780M Graphics |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
Base Frequency | 4.00 GHz |
Cluster 1 | 8 Cores |
L1 Instruction Cache | 32.0 KB x 8 |
L1 Data Cache | 32.0 KB x 8 |
L2 Cache | 1.00 MB x 8 |
L3 Cache | 16.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2141
400.6 IPS |
|
Image Classification (F16)
|
100% |
1762
329.8 IPS |
|
Image Classification (I8)
|
99% |
4730
885.2 IPS |
|
Image Segmentation (F32)
|
100% |
870
14.5 IPS |
|
Image Segmentation (F16)
|
100% |
916
15.3 IPS |
|
Image Segmentation (I8)
|
98% |
3315
55.4 IPS |
|
Pose Estimation (F32)
|
100% |
7553
9.15 IPS |
|
Pose Estimation (F16)
|
100% |
7600
9.20 IPS |
|
Pose Estimation (I8)
|
100% |
26627
32.2 IPS |
|
Object Detection (F32)
|
100% |
2084
155.6 IPS |
|
Object Detection (F16)
|
100% |
1928
143.9 IPS |
|
Object Detection (I8)
|
62% |
1945
145.2 IPS |
|
Face Detection (F32)
|
100% |
3264
38.8 IPS |
|
Face Detection (F16)
|
100% |
3196
38.0 IPS |
|
Face Detection (I8)
|
89% |
4751
56.5 IPS |
|
Depth Estimation (F32)
|
100% |
8525
66.1 IPS |
|
Depth Estimation (F16)
|
100% |
8181
63.4 IPS |
|
Depth Estimation (I8)
|
96% |
15846
122.9 IPS |
|
Style Transfer (F32)
|
100% |
15488
20.4 IPS |
|
Style Transfer (F16)
|
100% |
17299
22.8 IPS |
|
Style Transfer (I8)
|
98% |
25894
34.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
2850
101.8 IPS |
|
Image Super-Resolution (F16)
|
100% |
3122
111.5 IPS |
|
Image Super-Resolution (I8)
|
99% |
3664
130.8 IPS |
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
Text Classification (F16)
|
100% |
1532
2.20 KIPS |
|
Text Classification (I8)
|
98% |
1509
2.17 KIPS |
|
Machine Translation (F32)
|
100% |
2065
38.0 IPS |
|
Machine Translation (F16)
|
100% |
2098
38.6 IPS |
|
Machine Translation (I8)
|
67% |
2780
51.2 IPS |