| Upload Date | October 13 2024 05:47 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | High performance |
| 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% |
13791
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
18125
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
11622
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19704
319.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23502
381.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18232
296.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
316232
369.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
525402
613.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
275366
322.5 IPS |
|
|
Object Detection (SP)
|
100% |
17915
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
23277
1.85 KIPS |
|
|
Object Detection (Q)
|
89% |
14524
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
45572
541.5 IPS |
|
|
Face Detection (HP)
|
100% |
52954
629.2 IPS |
|
|
Face Detection (Q)
|
97% |
37953
452.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92923
715.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
158148
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67201
542.0 IPS |
|
|
Style Transfer (SP)
|
100% |
567077
729.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1072845
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
480120
619.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60148
2.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80221
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43857
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4860
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2319
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4676
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4599
79.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2069
46.2 IPS |