| User | BengtC |
| Upload Date | April 19 2025 08:13 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Power Plan | Hg prestanda |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10444
1.94 KIPS |
|
|
Image Classification (HP)
|
99% |
15526
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
9288
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20904
338.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27374
443.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18523
301.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
156570
182.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
354703
413.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
136903
160.4 IPS |
|
|
Object Detection (SP)
|
100% |
13418
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
20906
1.66 KIPS |
|
|
Object Detection (Q)
|
85% |
11438
920.8 IPS |
|
|
Face Detection (SP)
|
100% |
36282
431.1 IPS |
|
|
Face Detection (HP)
|
100% |
52693
626.1 IPS |
|
|
Face Detection (Q)
|
97% |
30860
368.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
61068
470.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109360
842.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
48358
386.1 IPS |
|
|
Style Transfer (SP)
|
100% |
265483
341.3 IPS |
|
|
Style Transfer (HP)
|
100% |
594165
763.8 IPS |
|
|
Style Transfer (Q)
|
98% |
241734
311.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45848
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55112
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32304
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2092
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5755
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5859
100.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2499
46.9 IPS |