| Upload Date | October 30 2025 02:14 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 UD AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 UD AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14050
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
22219
4.13 KIPS |
|
|
Image Classification (Q)
|
100% |
12195
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19994
324.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26629
431.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18022
293.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
163448
190.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
629963
735.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
144281
169.0 IPS |
|
|
Object Detection (SP)
|
100% |
16460
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
26224
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
13581
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
43638
518.5 IPS |
|
|
Face Detection (HP)
|
100% |
58659
697.0 IPS |
|
|
Face Detection (Q)
|
97% |
36177
431.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
84738
652.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
145676
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62797
501.4 IPS |
|
|
Style Transfer (SP)
|
100% |
302484
388.8 IPS |
|
|
Style Transfer (HP)
|
100% |
993713
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
257530
332.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47252
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79082
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35642
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2431
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5522
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5510
94.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2613
49.0 IPS |