User | f180n4cc1 |
Upload Date | January 02 2025 09:17 AM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4090 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X3D |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
13940
2.59 KIPS |
|
Image Classification (HP)
|
99% |
18323
3.42 KIPS |
|
Image Classification (Q)
|
100% |
11974
2.23 KIPS |
|
Image Segmentation (SP)
|
100% |
22827
370.0 IPS |
|
Image Segmentation (HP)
|
100% |
29944
485.4 IPS |
|
Image Segmentation (Q)
|
98% |
22284
362.4 IPS |
|
Pose Estimation (SP)
|
100% |
315205
367.8 IPS |
|
Pose Estimation (HP)
|
100% |
546200
637.3 IPS |
|
Pose Estimation (Q)
|
96% |
273933
321.0 IPS |
|
Object Detection (SP)
|
100% |
19478
1.55 KIPS |
|
Object Detection (HP)
|
100% |
25278
2.01 KIPS |
|
Object Detection (Q)
|
86% |
16269
1.31 KIPS |
|
Face Detection (SP)
|
100% |
54386
646.2 IPS |
|
Face Detection (HP)
|
100% |
68410
812.9 IPS |
|
Face Detection (Q)
|
97% |
45927
547.6 IPS |
|
Depth Estimation (SP)
|
100% |
93946
723.8 IPS |
|
Depth Estimation (HP)
|
99% |
160386
1.24 KIPS |
|
Depth Estimation (Q)
|
77% |
69800
558.3 IPS |
|
Style Transfer (SP)
|
100% |
577865
742.9 IPS |
|
Style Transfer (HP)
|
100% |
1106825
1.42 KIPS |
|
Style Transfer (Q)
|
98% |
489221
630.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
59755
2.21 KIPS |
|
Image Super-Resolution (HP)
|
100% |
79189
2.92 KIPS |
|
Image Super-Resolution (Q)
|
99% |
43933
1.63 KIPS |
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
Text Classification (HP)
|
99% |
4297
5.74 KIPS |
|
Text Classification (Q)
|
97% |
2138
2.86 KIPS |
|
Machine Translation (SP)
|
100% |
5357
92.3 IPS |
|
Machine Translation (HP)
|
100% |
5478
94.4 IPS |
|
Machine Translation (Q)
|
70% |
2586
48.5 IPS |