| Upload Date | November 06 2025 06:36 AM |
| Views | 2 |
| 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. Z890 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12491
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
20019
3.72 KIPS |
|
|
Image Classification (Q)
|
100% |
11052
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20940
339.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
28022
454.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18342
298.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
155171
181.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
617361
720.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
141392
165.6 IPS |
|
|
Object Detection (SP)
|
100% |
15412
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
25039
1.99 KIPS |
|
|
Object Detection (Q)
|
86% |
12182
978.7 IPS |
|
|
Face Detection (SP)
|
100% |
40228
478.0 IPS |
|
|
Face Detection (HP)
|
100% |
61870
735.2 IPS |
|
|
Face Detection (Q)
|
97% |
31642
377.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
78568
605.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
138056
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59446
474.7 IPS |
|
|
Style Transfer (SP)
|
100% |
296889
381.7 IPS |
|
|
Style Transfer (HP)
|
100% |
943960
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
252146
325.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45201
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76029
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34162
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5049
6.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2236
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5655
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5372
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2000
37.5 IPS |