User | ovey |
Upload Date | July 18 2025 09:49 PM |
Views | 6 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4070 Ti SUPER |
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 | High performance |
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% |
12467
2.32 KIPS |
|
Image Classification (HP)
|
99% |
17347
3.24 KIPS |
|
Image Classification (Q)
|
100% |
10653
1.98 KIPS |
|
Image Segmentation (SP)
|
100% |
22822
370.0 IPS |
|
Image Segmentation (HP)
|
100% |
29897
484.7 IPS |
|
Image Segmentation (Q)
|
98% |
20536
333.9 IPS |
|
Pose Estimation (SP)
|
100% |
197095
230.0 IPS |
|
Pose Estimation (HP)
|
100% |
471650
550.3 IPS |
|
Pose Estimation (Q)
|
96% |
175906
206.1 IPS |
|
Object Detection (SP)
|
100% |
15612
1.24 KIPS |
|
Object Detection (HP)
|
100% |
22499
1.78 KIPS |
|
Object Detection (Q)
|
85% |
13208
1.06 KIPS |
|
Face Detection (SP)
|
100% |
45693
542.9 IPS |
|
Face Detection (HP)
|
100% |
59044
701.6 IPS |
|
Face Detection (Q)
|
97% |
38456
458.6 IPS |
|
Depth Estimation (SP)
|
100% |
80920
623.4 IPS |
|
Depth Estimation (HP)
|
99% |
129234
998.5 IPS |
|
Depth Estimation (Q)
|
77% |
61296
490.1 IPS |
|
Style Transfer (SP)
|
100% |
329544
423.6 IPS |
|
Style Transfer (HP)
|
100% |
789881
1.02 KIPS |
|
Style Transfer (Q)
|
98% |
297668
383.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
50187
1.85 KIPS |
|
Image Super-Resolution (HP)
|
100% |
62668
2.31 KIPS |
|
Image Super-Resolution (Q)
|
99% |
36166
1.34 KIPS |
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
Text Classification (HP)
|
99% |
4044
5.40 KIPS |
|
Text Classification (Q)
|
97% |
1972
2.64 KIPS |
|
Machine Translation (SP)
|
100% |
5744
99.0 IPS |
|
Machine Translation (HP)
|
100% |
5706
98.3 IPS |
|
Machine Translation (Q)
|
70% |
2635
49.4 IPS |