| Upload Date | November 06 2025 08:30 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E27 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-P (MS-7E27) |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3085
573.8 IPS |
|
|
Image Classification (HP)
|
100% |
4100
762.4 IPS |
|
|
Image Classification (Q)
|
100% |
2880
535.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3880
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3977
64.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3111
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
38224
44.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
72978
85.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
28212
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
3326
263.8 IPS |
|
|
Object Detection (Q)
|
87% |
2411
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
6016
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
11098
131.9 IPS |
|
|
Face Detection (Q)
|
97% |
5033
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17337
133.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25481
196.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13534
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59450
76.4 IPS |
|
|
Style Transfer (HP)
|
100% |
99775
128.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42317
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12088
446.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20000
738.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8229
304.7 IPS |
|
|
Text Classification (SP)
|
100% |
2603
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3658
4.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1836
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1715
32.2 IPS |