| User | cmcclurg |
| Upload Date | October 19 2024 02:06 PM |
| Views | 14 |
| 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. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9687
1.80 KIPS |
|
|
Image Classification (HP)
|
99% |
13512
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
6081
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16982
275.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23887
387.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12339
200.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
166740
194.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
357288
416.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
126050
147.6 IPS |
|
|
Object Detection (SP)
|
100% |
12518
992.9 IPS |
|
|
Object Detection (HP)
|
100% |
17893
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
7859
629.2 IPS |
|
|
Face Detection (SP)
|
100% |
32095
381.4 IPS |
|
|
Face Detection (HP)
|
100% |
45755
543.7 IPS |
|
|
Face Detection (Q)
|
97% |
20145
240.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
58259
448.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102879
792.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
34183
275.5 IPS |
|
|
Style Transfer (SP)
|
100% |
271781
349.4 IPS |
|
|
Style Transfer (HP)
|
100% |
639535
822.1 IPS |
|
|
Style Transfer (Q)
|
98% |
191004
246.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38611
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54818
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22037
816.0 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1511
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1336
29.8 IPS |