| User | SimonSu63 |
| Upload Date | November 23 2025 07:37 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3101
576.7 IPS |
|
|
Image Classification (HP)
|
100% |
2694
501.1 IPS |
|
|
Image Classification (Q)
|
99% |
2637
491.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5248
85.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4062
65.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4317
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25062
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15255
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
22158
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3571
283.3 IPS |
|
|
Object Detection (HP)
|
100% |
3208
254.5 IPS |
|
|
Object Detection (Q)
|
83% |
3044
246.0 IPS |
|
|
Face Detection (SP)
|
100% |
8318
98.8 IPS |
|
|
Face Detection (HP)
|
100% |
6445
76.6 IPS |
|
|
Face Detection (Q)
|
97% |
7013
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16053
123.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11477
88.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12454
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44974
57.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30032
38.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38814
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9896
365.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7523
277.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6830
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
929
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3076
53.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1216
22.8 IPS |