User | Fraxxed16 |
Upload Date | May 25 2025 05:27 AM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 7800 XT |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7D25 |
Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i5-13600K |
Topology | 1 Processor, 14 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.50 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
11137
2.07 KIPS |
|
Image Classification (HP)
|
100% |
13147
2.44 KIPS |
|
Image Classification (Q)
|
99% |
10262
1.91 KIPS |
|
Image Segmentation (SP)
|
100% |
20917
339.1 IPS |
|
Image Segmentation (HP)
|
100% |
16831
272.8 IPS |
|
Image Segmentation (Q)
|
98% |
18171
295.5 IPS |
|
Pose Estimation (SP)
|
100% |
183223
213.8 IPS |
|
Pose Estimation (HP)
|
100% |
324598
378.8 IPS |
|
Pose Estimation (Q)
|
96% |
162740
190.6 IPS |
|
Object Detection (SP)
|
100% |
12195
967.3 IPS |
|
Object Detection (HP)
|
99% |
14447
1.15 KIPS |
|
Object Detection (Q)
|
87% |
10654
855.7 IPS |
|
Face Detection (SP)
|
100% |
42127
500.6 IPS |
|
Face Detection (HP)
|
100% |
45445
540.0 IPS |
|
Face Detection (Q)
|
97% |
35917
428.2 IPS |
|
Depth Estimation (SP)
|
100% |
63444
488.8 IPS |
|
Depth Estimation (HP)
|
99% |
81763
629.9 IPS |
|
Depth Estimation (Q)
|
77% |
48308
387.1 IPS |
|
Style Transfer (SP)
|
100% |
322579
414.7 IPS |
|
Style Transfer (HP)
|
100% |
514715
661.7 IPS |
|
Style Transfer (Q)
|
98% |
282007
363.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
37641
1.39 KIPS |
|
Image Super-Resolution (HP)
|
100% |
56519
2.09 KIPS |
|
Image Super-Resolution (Q)
|
99% |
28188
1.04 KIPS |
|
Text Classification (SP)
|
100% |
3757
5.01 KIPS |
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
Text Classification (Q)
|
97% |
2423
3.25 KIPS |
|
Machine Translation (SP)
|
100% |
4804
82.7 IPS |
|
Machine Translation (HP)
|
100% |
5037
86.8 IPS |
|
Machine Translation (Q)
|
70% |
2637
49.5 IPS |