User | danm1988 |
Upload Date | September 12 2025 06:08 PM |
Views | 7 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | GPU |
Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
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% |
9854
1.83 KIPS |
|
Image Classification (HP)
|
100% |
19535
3.63 KIPS |
|
Image Classification (Q)
|
100% |
21315
3.96 KIPS |
|
Image Segmentation (SP)
|
100% |
15684
254.3 IPS |
|
Image Segmentation (HP)
|
100% |
22647
367.1 IPS |
|
Image Segmentation (Q)
|
99% |
23104
374.5 IPS |
|
Pose Estimation (SP)
|
100% |
80558
94.0 IPS |
|
Pose Estimation (HP)
|
100% |
324719
378.9 IPS |
|
Pose Estimation (Q)
|
97% |
561012
656.8 IPS |
|
Object Detection (SP)
|
100% |
8397
666.1 IPS |
|
Object Detection (HP)
|
100% |
20076
1.59 KIPS |
|
Object Detection (Q)
|
88% |
15774
1.26 KIPS |
|
Face Detection (SP)
|
100% |
20313
241.4 IPS |
|
Face Detection (HP)
|
100% |
37796
449.1 IPS |
|
Face Detection (Q)
|
100% |
39079
464.3 IPS |
|
Depth Estimation (SP)
|
100% |
58802
453.0 IPS |
|
Depth Estimation (HP)
|
99% |
122048
940.3 IPS |
|
Depth Estimation (Q)
|
89% |
140733
1.09 KIPS |
|
Style Transfer (SP)
|
100% |
172242
221.4 IPS |
|
Style Transfer (HP)
|
100% |
529868
681.2 IPS |
|
Style Transfer (Q)
|
98% |
571027
736.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
31496
1.16 KIPS |
|
Image Super-Resolution (HP)
|
100% |
59963
2.21 KIPS |
|
Image Super-Resolution (Q)
|
99% |
52072
1.93 KIPS |
|
Text Classification (SP)
|
100% |
3905
5.21 KIPS |
|
Text Classification (HP)
|
100% |
3686
4.92 KIPS |
|
Text Classification (Q)
|
92% |
2598
3.49 KIPS |
|
Machine Translation (SP)
|
100% |
3255
56.1 IPS |
|
Machine Translation (HP)
|
100% |
3365
58.0 IPS |
|
Machine Translation (Q)
|
100% |
3388
58.4 IPS |