| Upload Date | November 07 2025 08:17 AM |
| Views | 10 |
| 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% |
17985
3.34 KIPS |
|
|
Image Classification (HP)
|
100% |
20628
3.84 KIPS |
|
|
Image Classification (Q)
|
99% |
16730
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20873
338.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24848
402.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
27239
442.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
223635
260.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
713215
832.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
202871
237.6 IPS |
|
|
Object Detection (SP)
|
100% |
19281
1.53 KIPS |
|
|
Object Detection (HP)
|
99% |
23415
1.86 KIPS |
|
|
Object Detection (Q)
|
87% |
17362
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
58417
694.1 IPS |
|
|
Face Detection (HP)
|
100% |
65725
781.0 IPS |
|
|
Face Detection (Q)
|
97% |
51071
608.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
92105
709.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
134449
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76213
610.8 IPS |
|
|
Style Transfer (SP)
|
100% |
423339
544.2 IPS |
|
|
Style Transfer (HP)
|
100% |
787339
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
383816
494.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57092
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91722
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47350
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
4651
6.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
97% |
3499
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
7338
126.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7512
129.4 IPS |
|
|
Machine Translation (Q)
|
70% |
4342
81.4 IPS |