User | GyBHard |
Upload Date | February 02 2025 01:01 PM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3090 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
Motherboard | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
Power Plan | Alto rendimiento |
CPU Information | |
---|---|
Name | Intel Core i5-12600K |
Topology | 1 Processor, 10 Cores, 16 Threads |
Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
Base Frequency | 3.70 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8380
1.56 KIPS |
|
Image Classification (HP)
|
99% |
13478
2.51 KIPS |
|
Image Classification (Q)
|
100% |
5716
1.06 KIPS |
|
Image Segmentation (SP)
|
100% |
14502
235.1 IPS |
|
Image Segmentation (HP)
|
100% |
19144
310.3 IPS |
|
Image Segmentation (Q)
|
98% |
10766
175.1 IPS |
|
Pose Estimation (SP)
|
100% |
170102
198.5 IPS |
|
Pose Estimation (HP)
|
100% |
329720
384.7 IPS |
|
Pose Estimation (Q)
|
96% |
126142
147.8 IPS |
|
Object Detection (SP)
|
100% |
11470
909.8 IPS |
|
Object Detection (HP)
|
100% |
15513
1.23 KIPS |
|
Object Detection (Q)
|
85% |
7912
636.4 IPS |
|
Face Detection (SP)
|
100% |
29065
345.4 IPS |
|
Face Detection (HP)
|
100% |
40423
480.3 IPS |
|
Face Detection (Q)
|
97% |
20176
240.6 IPS |
|
Depth Estimation (SP)
|
100% |
56460
435.0 IPS |
|
Depth Estimation (HP)
|
99% |
98818
761.3 IPS |
|
Depth Estimation (Q)
|
77% |
34067
272.8 IPS |
|
Style Transfer (SP)
|
100% |
264805
340.4 IPS |
|
Style Transfer (HP)
|
100% |
593191
762.6 IPS |
|
Style Transfer (Q)
|
98% |
186078
239.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
34334
1.27 KIPS |
|
Image Super-Resolution (HP)
|
100% |
47981
1.77 KIPS |
|
Image Super-Resolution (Q)
|
99% |
20495
758.9 IPS |
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
Text Classification (HP)
|
99% |
3552
4.74 KIPS |
|
Text Classification (Q)
|
97% |
1209
1.62 KIPS |
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
Machine Translation (HP)
|
100% |
3779
65.1 IPS |
|
Machine Translation (Q)
|
70% |
1425
26.7 IPS |