| Upload Date | December 02 2025 05:55 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10978
2.04 KIPS |
|
|
Image Classification (HP)
|
99% |
17379
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9715
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19576
317.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26202
424.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17403
283.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
146610
171.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
338506
395.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
126823
148.6 IPS |
|
|
Object Detection (SP)
|
100% |
13439
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
21607
1.71 KIPS |
|
|
Object Detection (Q)
|
85% |
11478
924.0 IPS |
|
|
Face Detection (SP)
|
100% |
35998
427.7 IPS |
|
|
Face Detection (HP)
|
100% |
51362
610.3 IPS |
|
|
Face Detection (Q)
|
97% |
30661
365.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
56993
439.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
113058
871.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
43616
348.3 IPS |
|
|
Style Transfer (SP)
|
100% |
254320
326.9 IPS |
|
|
Style Transfer (HP)
|
100% |
593626
763.1 IPS |
|
|
Style Transfer (Q)
|
98% |
226759
292.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47729
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59084
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33146
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4904
6.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5573
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5655
97.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2163
40.6 IPS |