User | danm1988 |
Upload Date | April 11 2025 05:25 PM |
Views | 2 |
Notes | A770 with Flex 170 drivers |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | GPU |
Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro Insider Preview (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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5386
1.00 KIPS |
|
Image Classification (HP)
|
100% |
7653
1.42 KIPS |
|
Image Classification (Q)
|
100% |
7789
1.45 KIPS |
|
Image Segmentation (SP)
|
100% |
11334
183.7 IPS |
|
Image Segmentation (HP)
|
100% |
13824
224.1 IPS |
|
Image Segmentation (Q)
|
99% |
14573
236.2 IPS |
|
Pose Estimation (SP)
|
100% |
81171
94.7 IPS |
|
Pose Estimation (HP)
|
100% |
220689
257.5 IPS |
|
Pose Estimation (Q)
|
97% |
322369
377.4 IPS |
|
Object Detection (SP)
|
100% |
5018
398.1 IPS |
|
Object Detection (HP)
|
100% |
9168
727.2 IPS |
|
Object Detection (Q)
|
88% |
9401
753.4 IPS |
|
Face Detection (SP)
|
100% |
19399
230.5 IPS |
|
Face Detection (HP)
|
100% |
24888
295.7 IPS |
|
Face Detection (Q)
|
100% |
25798
306.5 IPS |
|
Depth Estimation (SP)
|
100% |
25557
196.9 IPS |
|
Depth Estimation (HP)
|
99% |
53651
413.3 IPS |
|
Depth Estimation (Q)
|
89% |
55673
432.8 IPS |
|
Style Transfer (SP)
|
100% |
200752
258.1 IPS |
|
Style Transfer (HP)
|
100% |
352218
452.8 IPS |
|
Style Transfer (Q)
|
98% |
411513
530.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
17923
661.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
25831
953.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
25097
929.4 IPS |
|
Text Classification (SP)
|
100% |
1629
2.17 KIPS |
|
Text Classification (HP)
|
100% |
1547
2.07 KIPS |
|
Text Classification (Q)
|
92% |
1146
1.54 KIPS |
|
Machine Translation (SP)
|
100% |
1510
26.0 IPS |
|
Machine Translation (HP)
|
100% |
1962
33.8 IPS |
|
Machine Translation (Q)
|
100% |
1970
33.9 IPS |