| User | CallumBench |
| Upload Date | February 02 2025 10:25 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5594
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
6001
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
4812
894.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7610
123.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6239
101.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6536
106.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
73169
85.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120162
140.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
61694
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
5839
463.2 IPS |
|
|
Object Detection (Q)
|
87% |
3916
314.5 IPS |
|
|
Face Detection (SP)
|
100% |
15087
179.3 IPS |
|
|
Face Detection (HP)
|
100% |
17687
210.2 IPS |
|
|
Face Detection (Q)
|
97% |
12661
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34203
263.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
39727
306.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
26350
211.6 IPS |
|
|
Style Transfer (SP)
|
100% |
142244
182.9 IPS |
|
|
Style Transfer (HP)
|
100% |
177856
228.6 IPS |
|
|
Style Transfer (Q)
|
98% |
117137
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22427
828.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26843
991.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16078
595.4 IPS |
|
|
Text Classification (SP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2441
42.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1352
25.4 IPS |