User | Deimorin |
Upload Date | January 08 2025 11:05 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4060 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B660 DS3H AX DDR4 |
Motherboard | Gigabyte Technology Co., Ltd. B660 DS3H AX DDR4 |
Power Plan | Ausbalanciert |
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 | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8834
1.64 KIPS |
|
Image Classification (HP)
|
99% |
13755
2.57 KIPS |
|
Image Classification (Q)
|
99% |
7578
1.41 KIPS |
|
Image Segmentation (SP)
|
100% |
12159
197.1 IPS |
|
Image Segmentation (HP)
|
100% |
14143
229.3 IPS |
|
Image Segmentation (Q)
|
98% |
10737
174.6 IPS |
|
Pose Estimation (SP)
|
100% |
105134
122.7 IPS |
|
Pose Estimation (HP)
|
100% |
321417
375.0 IPS |
|
Pose Estimation (Q)
|
96% |
93378
109.4 IPS |
|
Object Detection (SP)
|
100% |
9618
762.9 IPS |
|
Object Detection (HP)
|
100% |
15481
1.23 KIPS |
|
Object Detection (Q)
|
85% |
8468
681.7 IPS |
|
Face Detection (SP)
|
100% |
23714
281.8 IPS |
|
Face Detection (HP)
|
100% |
31273
371.6 IPS |
|
Face Detection (Q)
|
97% |
18877
225.1 IPS |
|
Depth Estimation (SP)
|
100% |
45912
353.7 IPS |
|
Depth Estimation (HP)
|
99% |
89357
688.4 IPS |
|
Depth Estimation (Q)
|
77% |
37832
302.9 IPS |
|
Style Transfer (SP)
|
100% |
186362
239.6 IPS |
|
Style Transfer (HP)
|
100% |
441659
567.8 IPS |
|
Style Transfer (Q)
|
98% |
168543
217.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
32156
1.19 KIPS |
|
Image Super-Resolution (HP)
|
100% |
47904
1.77 KIPS |
|
Image Super-Resolution (Q)
|
99% |
23633
875.1 IPS |
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
Text Classification (HP)
|
99% |
4113
5.49 KIPS |
|
Text Classification (Q)
|
97% |
1979
2.65 KIPS |
|
Machine Translation (SP)
|
100% |
3193
55.0 IPS |
|
Machine Translation (HP)
|
100% |
3344
57.6 IPS |
|
Machine Translation (Q)
|
70% |
1677
31.5 IPS |