| Upload Date | November 07 2025 09:00 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon AI PRO R9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000593-20_Y |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 1 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11990
2.23 KIPS |
|
|
Image Classification (HP)
|
100% |
13648
2.54 KIPS |
|
|
Image Classification (Q)
|
99% |
12277
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21832
353.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29185
473.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20142
327.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
220573
257.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
687376
802.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
199735
234.0 IPS |
|
|
Object Detection (SP)
|
100% |
14479
1.15 KIPS |
|
|
Object Detection (HP)
|
99% |
15772
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
11334
910.3 IPS |
|
|
Face Detection (SP)
|
100% |
42303
502.6 IPS |
|
|
Face Detection (HP)
|
100% |
48362
574.6 IPS |
|
|
Face Detection (Q)
|
97% |
36872
439.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
89273
687.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
126757
976.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
72570
581.6 IPS |
|
|
Style Transfer (SP)
|
100% |
412573
530.4 IPS |
|
|
Style Transfer (HP)
|
100% |
689529
886.4 IPS |
|
|
Style Transfer (Q)
|
98% |
366601
472.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40090
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63001
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44051
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2607
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6093
104.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5515
95.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3215
60.3 IPS |