| User | OneOf18Angels |
| Upload Date | November 12 2025 09:07 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B850-F GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13764
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
19849
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
12020
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25573
414.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
34230
554.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
23598
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
269045
313.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
535103
624.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
236583
277.2 IPS |
|
|
Object Detection (SP)
|
100% |
18089
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
26300
2.09 KIPS |
|
|
Object Detection (Q)
|
85% |
15581
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
53613
637.0 IPS |
|
|
Face Detection (HP)
|
100% |
71294
847.1 IPS |
|
|
Face Detection (Q)
|
97% |
45111
537.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87635
675.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
159730
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66273
529.2 IPS |
|
|
Style Transfer (SP)
|
100% |
409321
526.2 IPS |
|
|
Style Transfer (HP)
|
100% |
952887
1.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
357705
461.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59136
2.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80885
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43785
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2309
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6539
112.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6424
110.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2934
55.0 IPS |