| User | AndRusha |
| Upload Date | August 20 2024 05:27 PM |
| Views | 29 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS XTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13127
2.44 KIPS |
|
|
Image Classification (HP)
|
99% |
17560
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
11135
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18305
296.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21751
352.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17254
280.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
301466
351.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
508669
593.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
267085
312.8 IPS |
|
|
Object Detection (SP)
|
100% |
17154
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
21690
1.72 KIPS |
|
|
Object Detection (Q)
|
89% |
14698
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
43179
513.1 IPS |
|
|
Face Detection (HP)
|
100% |
50829
604.0 IPS |
|
|
Face Detection (Q)
|
97% |
36807
438.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
89292
687.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
153958
1.19 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67655
546.1 IPS |
|
|
Style Transfer (SP)
|
100% |
549662
706.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1008765
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
473287
610.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59608
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79172
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43833
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4999
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2298
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4264
73.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1929
43.0 IPS |