User | spasquier |
Upload Date | September 17 2024 03:21 AM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 7900 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING (WI-FI) |
Power Plan | Equilibrado |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5900X |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 3.70 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
12537
2.33 KIPS |
|
Image Classification (HP)
|
100% |
13451
2.50 KIPS |
|
Image Classification (Q)
|
100% |
10710
1.99 KIPS |
|
Image Segmentation (SP)
|
100% |
19137
310.2 IPS |
|
Image Segmentation (HP)
|
100% |
16832
272.9 IPS |
|
Image Segmentation (Q)
|
98% |
17377
282.6 IPS |
|
Pose Estimation (SP)
|
100% |
257526
300.5 IPS |
|
Pose Estimation (HP)
|
100% |
361916
422.3 IPS |
|
Pose Estimation (Q)
|
96% |
220714
258.6 IPS |
|
Object Detection (SP)
|
100% |
13739
1.09 KIPS |
|
Object Detection (HP)
|
99% |
14747
1.17 KIPS |
|
Object Detection (Q)
|
89% |
11497
920.7 IPS |
|
Face Detection (SP)
|
100% |
38032
451.9 IPS |
|
Face Detection (HP)
|
100% |
42086
500.1 IPS |
|
Face Detection (Q)
|
97% |
31928
380.8 IPS |
|
Depth Estimation (SP)
|
100% |
71738
552.7 IPS |
|
Depth Estimation (HP)
|
99% |
81001
624.1 IPS |
|
Depth Estimation (Q)
|
76% |
57250
461.6 IPS |
|
Style Transfer (SP)
|
100% |
402495
517.4 IPS |
|
Style Transfer (HP)
|
100% |
560571
720.6 IPS |
|
Style Transfer (Q)
|
98% |
355150
458.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
42056
1.55 KIPS |
|
Image Super-Resolution (HP)
|
100% |
52191
1.93 KIPS |
|
Image Super-Resolution (Q)
|
99% |
33828
1.25 KIPS |
|
Text Classification (SP)
|
100% |
3916
5.23 KIPS |
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
Text Classification (Q)
|
97% |
2525
3.38 KIPS |
|
Machine Translation (SP)
|
100% |
4485
77.3 IPS |
|
Machine Translation (HP)
|
100% |
4652
80.1 IPS |
|
Machine Translation (Q)
|
60% |
2136
47.7 IPS |