| User | jessefreeman |
| Upload Date | October 15 2024 01:45 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited Uranus Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11159
2.08 KIPS |
|
|
Image Classification (HP)
|
99% |
15888
2.96 KIPS |
|
|
Image Classification (Q)
|
100% |
9635
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18500
299.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23687
384.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17166
279.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
168006
196.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
427992
499.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
150760
176.5 IPS |
|
|
Object Detection (SP)
|
100% |
13323
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
20194
1.60 KIPS |
|
|
Object Detection (Q)
|
89% |
10782
863.0 IPS |
|
|
Face Detection (SP)
|
100% |
34754
412.9 IPS |
|
|
Face Detection (HP)
|
100% |
47853
568.6 IPS |
|
|
Face Detection (Q)
|
97% |
28839
343.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
64984
500.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114100
881.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
49927
402.2 IPS |
|
|
Style Transfer (SP)
|
100% |
300545
386.4 IPS |
|
|
Style Transfer (HP)
|
100% |
727988
935.8 IPS |
|
|
Style Transfer (Q)
|
98% |
266888
344.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49186
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60829
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35405
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3605
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4400
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2227
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4941
85.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2080
46.4 IPS |