Upload Date | August 16 2024 04:31 AM |
Views | 12 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 7900 XTX |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 7 5800X3D |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 3.40 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
13980
2.60 KIPS |
|
Image Classification (HP)
|
100% |
15295
2.84 KIPS |
|
Image Classification (Q)
|
100% |
12008
2.23 KIPS |
|
Image Segmentation (SP)
|
100% |
20212
327.7 IPS |
|
Image Segmentation (HP)
|
100% |
18359
297.6 IPS |
|
Image Segmentation (Q)
|
98% |
18410
299.3 IPS |
|
Pose Estimation (SP)
|
100% |
289811
338.2 IPS |
|
Pose Estimation (HP)
|
100% |
398942
465.5 IPS |
|
Pose Estimation (Q)
|
96% |
254791
298.5 IPS |
|
Object Detection (SP)
|
100% |
16612
1.32 KIPS |
|
Object Detection (HP)
|
99% |
17611
1.40 KIPS |
|
Object Detection (Q)
|
89% |
14848
1.19 KIPS |
|
Face Detection (SP)
|
100% |
41699
495.5 IPS |
|
Face Detection (HP)
|
100% |
45472
540.3 IPS |
|
Face Detection (Q)
|
97% |
35906
428.2 IPS |
|
Depth Estimation (SP)
|
100% |
75401
580.9 IPS |
|
Depth Estimation (HP)
|
99% |
90157
694.6 IPS |
|
Depth Estimation (Q)
|
73% |
57979
475.1 IPS |
|
Style Transfer (SP)
|
100% |
455530
585.6 IPS |
|
Style Transfer (HP)
|
100% |
635196
816.6 IPS |
|
Style Transfer (Q)
|
98% |
409547
528.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
52284
1.93 KIPS |
|
Image Super-Resolution (HP)
|
100% |
60673
2.24 KIPS |
|
Image Super-Resolution (Q)
|
99% |
40455
1.50 KIPS |
|
Text Classification (SP)
|
100% |
4298
5.74 KIPS |
|
Text Classification (HP)
|
100% |
4119
5.50 KIPS |
|
Text Classification (Q)
|
97% |
2756
3.69 KIPS |
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
Machine Translation (HP)
|
100% |
4541
78.2 IPS |
|
Machine Translation (Q)
|
60% |
2211
49.3 IPS |