| User | acnosov |
| Upload Date | March 21 2025 10:05 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2877
535.0 IPS |
|
|
Image Classification (HP)
|
100% |
4940
918.7 IPS |
|
|
Image Classification (Q)
|
100% |
2531
470.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4314
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5351
86.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3532
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
46294
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
87035
101.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
33252
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
4138
328.3 IPS |
|
|
Object Detection (Q)
|
89% |
2207
176.7 IPS |
|
|
Face Detection (SP)
|
100% |
5978
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
10810
128.4 IPS |
|
|
Face Detection (Q)
|
97% |
4619
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18454
142.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29306
225.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
14084
113.6 IPS |
|
|
Style Transfer (SP)
|
100% |
80024
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
130803
168.1 IPS |
|
|
Style Transfer (Q)
|
98% |
54272
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16249
600.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26444
976.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9542
353.3 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2031
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3457
59.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1507
33.6 IPS |