User | jluhman |
Upload Date | March 01 2025 11:55 AM |
Views | 6 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3060 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7C91 |
Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK MAX WIFI (MS-7C91) |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 7 5700G |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
Base Frequency | 3.80 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
6759
1.26 KIPS |
|
Image Classification (HP)
|
99% |
10923
2.04 KIPS |
|
Image Classification (Q)
|
100% |
5064
941.8 IPS |
|
Image Segmentation (SP)
|
100% |
9331
151.3 IPS |
|
Image Segmentation (HP)
|
100% |
12802
207.5 IPS |
|
Image Segmentation (Q)
|
98% |
7732
125.7 IPS |
|
Pose Estimation (SP)
|
100% |
93348
108.9 IPS |
|
Pose Estimation (HP)
|
100% |
249213
290.8 IPS |
|
Pose Estimation (Q)
|
96% |
75560
88.5 IPS |
|
Object Detection (SP)
|
100% |
7886
625.5 IPS |
|
Object Detection (HP)
|
100% |
12519
993.0 IPS |
|
Object Detection (Q)
|
85% |
5991
482.3 IPS |
|
Face Detection (SP)
|
100% |
17853
212.1 IPS |
|
Face Detection (HP)
|
100% |
27468
326.4 IPS |
|
Face Detection (Q)
|
97% |
14737
175.7 IPS |
|
Depth Estimation (SP)
|
100% |
40571
312.6 IPS |
|
Depth Estimation (HP)
|
99% |
77822
599.6 IPS |
|
Depth Estimation (Q)
|
77% |
27107
217.0 IPS |
|
Style Transfer (SP)
|
100% |
148985
191.5 IPS |
|
Style Transfer (HP)
|
100% |
367662
472.6 IPS |
|
Style Transfer (Q)
|
98% |
119371
153.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
27573
1.02 KIPS |
|
Image Super-Resolution (HP)
|
100% |
37147
1.37 KIPS |
|
Image Super-Resolution (Q)
|
99% |
16213
600.3 IPS |
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
Text Classification (HP)
|
99% |
3349
4.47 KIPS |
|
Text Classification (Q)
|
97% |
1239
1.66 KIPS |
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
Machine Translation (HP)
|
100% |
2907
50.1 IPS |
|
Machine Translation (Q)
|
70% |
1283
24.1 IPS |