Upload Date | May 19 2025 06:47 AM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5060 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro Computer (HK) Tech Limited MotherBoard Series |
Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7940HX with Radeon Graphics |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 2.40 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
9550
1.78 KIPS |
|
Image Classification (HP)
|
100% |
17036
3.17 KIPS |
|
Image Classification (Q)
|
100% |
8790
1.63 KIPS |
|
Image Segmentation (SP)
|
100% |
18341
297.3 IPS |
|
Image Segmentation (HP)
|
100% |
28973
469.7 IPS |
|
Image Segmentation (Q)
|
98% |
16431
267.2 IPS |
|
Pose Estimation (SP)
|
100% |
124284
145.0 IPS |
|
Pose Estimation (HP)
|
100% |
397151
463.4 IPS |
|
Pose Estimation (Q)
|
96% |
116309
136.2 IPS |
|
Object Detection (SP)
|
100% |
12374
981.5 IPS |
|
Object Detection (HP)
|
100% |
22464
1.78 KIPS |
|
Object Detection (Q)
|
83% |
10359
837.0 IPS |
|
Face Detection (SP)
|
100% |
31178
370.5 IPS |
|
Face Detection (HP)
|
100% |
56720
674.0 IPS |
|
Face Detection (Q)
|
97% |
27349
326.1 IPS |
|
Depth Estimation (SP)
|
100% |
54260
418.0 IPS |
|
Depth Estimation (HP)
|
99% |
113207
872.2 IPS |
|
Depth Estimation (Q)
|
78% |
43748
349.2 IPS |
|
Style Transfer (SP)
|
100% |
172477
221.7 IPS |
|
Style Transfer (HP)
|
100% |
616489
792.5 IPS |
|
Style Transfer (Q)
|
98% |
151259
195.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
33258
1.23 KIPS |
|
Image Super-Resolution (HP)
|
100% |
65646
2.42 KIPS |
|
Image Super-Resolution (Q)
|
99% |
25177
932.3 IPS |
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
Text Classification (HP)
|
100% |
4151
5.54 KIPS |
|
Text Classification (Q)
|
97% |
2101
2.81 KIPS |
|
Machine Translation (SP)
|
100% |
5664
97.6 IPS |
|
Machine Translation (HP)
|
100% |
6264
107.9 IPS |
|
Machine Translation (Q)
|
70% |
2060
38.6 IPS |