User | danm1988 |
Upload Date | June 06 2025 09:49 PM |
Views | 6 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4080 SUPER |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro Computer (HK) Tech Limited AtomMan X Series |
Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd MTBAC |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core Ultra 9 185H |
Topology | 1 Processor, 16 Cores, 22 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 2.30 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
10158
1.89 KIPS |
|
Image Classification (HP)
|
99% |
13040
2.43 KIPS |
|
Image Classification (Q)
|
100% |
9169
1.71 KIPS |
|
Image Segmentation (SP)
|
100% |
14403
233.5 IPS |
|
Image Segmentation (HP)
|
100% |
16554
268.4 IPS |
|
Image Segmentation (Q)
|
98% |
13584
220.9 IPS |
|
Pose Estimation (SP)
|
100% |
255452
298.1 IPS |
|
Pose Estimation (HP)
|
100% |
423034
493.6 IPS |
|
Pose Estimation (Q)
|
96% |
225323
264.0 IPS |
|
Object Detection (SP)
|
100% |
12460
988.3 IPS |
|
Object Detection (HP)
|
100% |
15206
1.21 KIPS |
|
Object Detection (Q)
|
85% |
10954
881.1 IPS |
|
Face Detection (SP)
|
100% |
33322
395.9 IPS |
|
Face Detection (HP)
|
100% |
39089
464.5 IPS |
|
Face Detection (Q)
|
97% |
30020
357.9 IPS |
|
Depth Estimation (SP)
|
100% |
77528
597.3 IPS |
|
Depth Estimation (HP)
|
99% |
127405
984.3 IPS |
|
Depth Estimation (Q)
|
78% |
60501
483.1 IPS |
|
Style Transfer (SP)
|
100% |
363082
466.7 IPS |
|
Style Transfer (HP)
|
100% |
684873
880.4 IPS |
|
Style Transfer (Q)
|
98% |
321536
414.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
46213
1.71 KIPS |
|
Image Super-Resolution (HP)
|
100% |
57726
2.13 KIPS |
|
Image Super-Resolution (Q)
|
99% |
36345
1.35 KIPS |
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
Text Classification (HP)
|
99% |
3748
5.00 KIPS |
|
Text Classification (Q)
|
97% |
2013
2.70 KIPS |
|
Machine Translation (SP)
|
100% |
3670
63.2 IPS |
|
Machine Translation (HP)
|
100% |
3659
63.0 IPS |
|
Machine Translation (Q)
|
70% |
2148
40.3 IPS |