Upload Date | August 17 2024 05:59 AM |
Views | 5 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Strix G733PZ_G733PZ |
Motherboard | ASUSTeK COMPUTER INC. G733PZ |
Power Plan | Turbo |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7945HX |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 2.50 GHz |
Cluster 1 | 16 Cores |
L1 Instruction Cache | 32.0 KB x 16 |
L1 Data Cache | 32.0 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 | NVIDIA GeForce RTX 4080 Laptop GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
7737
1.45 KIPS |
|
Image Classification (F16)
|
100% |
7485
1.40 KIPS |
|
Image Classification (I8)
|
100% |
6395
1.20 KIPS |
|
Image Segmentation (F32)
|
100% |
10534
175.9 IPS |
|
Image Segmentation (F16)
|
100% |
13667
228.3 IPS |
|
Image Segmentation (I8)
|
98% |
12474
208.3 IPS |
|
Pose Estimation (F32)
|
100% |
134358
162.7 IPS |
|
Pose Estimation (F16)
|
100% |
132694
160.7 IPS |
|
Pose Estimation (I8)
|
100% |
117535
142.3 IPS |
|
Object Detection (F32)
|
100% |
5393
402.6 IPS |
|
Object Detection (F16)
|
100% |
5034
375.9 IPS |
|
Object Detection (I8)
|
63% |
5174
386.3 IPS |
|
Face Detection (F32)
|
100% |
23020
273.7 IPS |
|
Face Detection (F16)
|
100% |
19220
228.5 IPS |
|
Face Detection (I8)
|
89% |
19076
226.8 IPS |
|
Depth Estimation (F32)
|
100% |
46302
359.1 IPS |
|
Depth Estimation (F16)
|
100% |
44514
345.2 IPS |
|
Depth Estimation (I8)
|
94% |
33459
259.5 IPS |
|
Style Transfer (F32)
|
100% |
182711
240.3 IPS |
|
Style Transfer (F16)
|
100% |
222050
292.1 IPS |
|
Style Transfer (I8)
|
98% |
174486
229.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
37295
1.33 KIPS |
|
Image Super-Resolution (F16)
|
100% |
33067
1.18 KIPS |
|
Image Super-Resolution (I8)
|
99% |
24683
881.5 IPS |
|
Text Classification (F32)
|
100% |
2487
3.57 KIPS |
|
Text Classification (F16)
|
100% |
2722
3.91 KIPS |
|
Text Classification (I8)
|
98% |
1537
2.21 KIPS |
|
Machine Translation (F32)
|
100% |
3939
72.5 IPS |
|
Machine Translation (F16)
|
100% |
3870
71.2 IPS |
|
Machine Translation (I8)
|
70% |
2370
43.6 IPS |