Upload Date | June 23 2025 12:08 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5070 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7E06 |
Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) i9-14900KS |
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% |
11412
2.12 KIPS |
|
Image Classification (HP)
|
100% |
19921
3.70 KIPS |
|
Image Classification (Q)
|
100% |
10291
1.91 KIPS |
|
Image Segmentation (SP)
|
100% |
17946
290.9 IPS |
|
Image Segmentation (HP)
|
100% |
25137
407.5 IPS |
|
Image Segmentation (Q)
|
98% |
16603
270.0 IPS |
|
Pose Estimation (SP)
|
100% |
151750
177.1 IPS |
|
Pose Estimation (HP)
|
100% |
445694
520.1 IPS |
|
Pose Estimation (Q)
|
96% |
127616
149.5 IPS |
|
Object Detection (SP)
|
100% |
14830
1.18 KIPS |
|
Object Detection (HP)
|
100% |
24483
1.94 KIPS |
|
Object Detection (Q)
|
83% |
12516
1.01 KIPS |
|
Face Detection (SP)
|
100% |
36933
438.8 IPS |
|
Face Detection (HP)
|
100% |
52109
619.2 IPS |
|
Face Detection (Q)
|
97% |
31396
374.3 IPS |
|
Depth Estimation (SP)
|
100% |
67469
519.8 IPS |
|
Depth Estimation (HP)
|
99% |
124135
956.4 IPS |
|
Depth Estimation (Q)
|
78% |
50958
406.7 IPS |
|
Style Transfer (SP)
|
100% |
229777
295.4 IPS |
|
Style Transfer (HP)
|
100% |
777230
999.1 IPS |
|
Style Transfer (Q)
|
98% |
194021
250.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
41951
1.55 KIPS |
|
Image Super-Resolution (HP)
|
100% |
80576
2.98 KIPS |
|
Image Super-Resolution (Q)
|
99% |
33133
1.23 KIPS |
|
Text Classification (SP)
|
100% |
4180
5.58 KIPS |
|
Text Classification (HP)
|
100% |
5184
6.92 KIPS |
|
Text Classification (Q)
|
97% |
2427
3.25 KIPS |
|
Machine Translation (SP)
|
100% |
5363
92.4 IPS |
|
Machine Translation (HP)
|
100% |
5564
95.8 IPS |
|
Machine Translation (Q)
|
70% |
2668
50.0 IPS |