Upload Date | February 20 2025 06:58 PM |
Views | 6 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
Power Plan | Performance |
CPU Information | |
---|---|
Name | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
Base Frequency | 3.00 GHz |
Cluster 1 | 16 Cores |
L1 Instruction Cache | 32.0 KB x 16 |
L1 Data Cache | 48.0 KB x 16 |
L2 Cache | 1.00 MB x 16 |
L3 Cache | 32.0 MB x 2 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon(TM) 8060S Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
8938
1.67 KIPS |
|
Image Classification (F16)
|
100% |
8861
1.66 KIPS |
|
Image Classification (I8)
|
100% |
7810
1.46 KIPS |
|
Image Segmentation (F32)
|
100% |
15507
259.0 IPS |
|
Image Segmentation (F16)
|
100% |
14601
243.9 IPS |
|
Image Segmentation (I8)
|
98% |
13098
218.8 IPS |
|
Pose Estimation (F32)
|
100% |
91639
111.0 IPS |
|
Pose Estimation (F16)
|
100% |
88394
107.0 IPS |
|
Pose Estimation (I8)
|
100% |
80460
97.4 IPS |
|
Object Detection (F32)
|
100% |
4323
322.8 IPS |
|
Object Detection (F16)
|
100% |
4003
298.8 IPS |
|
Object Detection (I8)
|
62% |
4138
308.9 IPS |
|
Face Detection (F32)
|
100% |
22860
271.8 IPS |
|
Face Detection (F16)
|
100% |
20038
238.3 IPS |
|
Face Detection (I8)
|
89% |
15221
181.0 IPS |
|
Depth Estimation (F32)
|
100% |
42734
331.4 IPS |
|
Depth Estimation (F16)
|
100% |
43240
335.3 IPS |
|
Depth Estimation (I8)
|
95% |
36965
286.7 IPS |
|
Style Transfer (F32)
|
100% |
166781
219.4 IPS |
|
Style Transfer (F16)
|
100% |
164562
216.5 IPS |
|
Style Transfer (I8)
|
98% |
144435
190.0 IPS |
|
Image Super-Resolution (F32)
|
100% |
30558
1.09 KIPS |
|
Image Super-Resolution (F16)
|
100% |
31984
1.14 KIPS |
|
Image Super-Resolution (I8)
|
99% |
25123
897.2 IPS |
|
Text Classification (F32)
|
100% |
3856
5.54 KIPS |
|
Text Classification (F16)
|
100% |
3854
5.54 KIPS |
|
Text Classification (I8)
|
98% |
2586
3.72 KIPS |
|
Machine Translation (F32)
|
100% |
5758
106.0 IPS |
|
Machine Translation (F16)
|
100% |
5839
107.5 IPS |
|
Machine Translation (I8)
|
70% |
3262
60.0 IPS |