| User | beamwalker |
| Upload Date | February 10 2025 01:06 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11188
2.08 KIPS |
|
|
Image Classification (HP)
|
99% |
15954
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
9912
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16617
269.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19603
317.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7831
127.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
156251
182.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
402726
469.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
142585
167.1 IPS |
|
|
Object Detection (SP)
|
100% |
13152
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
18963
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
11282
908.2 IPS |
|
|
Face Detection (SP)
|
100% |
34777
413.2 IPS |
|
|
Face Detection (HP)
|
100% |
46596
553.7 IPS |
|
|
Face Detection (Q)
|
97% |
30582
364.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
68545
528.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
114946
888.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
53797
430.1 IPS |
|
|
Style Transfer (SP)
|
100% |
277413
356.6 IPS |
|
|
Style Transfer (HP)
|
100% |
675535
868.4 IPS |
|
|
Style Transfer (Q)
|
98% |
247010
318.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46220
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60100
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33641
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4042
5.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2112
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2389
44.8 IPS |