Upload Date | December 26 2024 04:28 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4080 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. TRX50 AERO D |
Motherboard | Gigabyte Technology Co., Ltd. TRX50 AERO D |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen Threadripper 7960X 24-Cores |
Topology | 1 Processor, 24 Cores, 48 Threads |
Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
Base Frequency | 4.58 GHz |
Cluster 1 | 24 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
11747
2.18 KIPS |
|
Image Classification (HP)
|
99% |
15896
2.96 KIPS |
|
Image Classification (Q)
|
100% |
10008
1.86 KIPS |
|
Image Segmentation (SP)
|
100% |
18310
296.8 IPS |
|
Image Segmentation (HP)
|
100% |
22563
365.8 IPS |
|
Image Segmentation (Q)
|
98% |
17471
284.1 IPS |
|
Pose Estimation (SP)
|
100% |
256924
299.8 IPS |
|
Pose Estimation (HP)
|
100% |
489799
571.5 IPS |
|
Pose Estimation (Q)
|
97% |
227513
266.4 IPS |
|
Object Detection (SP)
|
100% |
14991
1.19 KIPS |
|
Object Detection (HP)
|
100% |
20587
1.63 KIPS |
|
Object Detection (Q)
|
89% |
12540
1.00 KIPS |
|
Face Detection (SP)
|
100% |
39883
473.9 IPS |
|
Face Detection (HP)
|
100% |
48877
580.8 IPS |
|
Face Detection (Q)
|
97% |
33672
401.5 IPS |
|
Depth Estimation (SP)
|
100% |
74870
576.8 IPS |
|
Depth Estimation (HP)
|
99% |
136652
1.06 KIPS |
|
Depth Estimation (Q)
|
76% |
57200
460.8 IPS |
|
Style Transfer (SP)
|
100% |
383324
492.8 IPS |
|
Style Transfer (HP)
|
100% |
841508
1.08 KIPS |
|
Style Transfer (Q)
|
98% |
337099
434.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
52709
1.95 KIPS |
|
Image Super-Resolution (HP)
|
100% |
70925
2.62 KIPS |
|
Image Super-Resolution (Q)
|
99% |
40656
1.51 KIPS |
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
Text Classification (HP)
|
99% |
4187
5.59 KIPS |
|
Text Classification (Q)
|
97% |
2204
2.95 KIPS |
|
Machine Translation (SP)
|
100% |
4720
81.3 IPS |
|
Machine Translation (HP)
|
100% |
4697
80.9 IPS |
|
Machine Translation (Q)
|
60% |
2146
47.9 IPS |