Upload Date | August 30 2024 04:19 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Acer Swift SFG14-73 |
Motherboard | MTL Goldfish_MTH |
Power Plan | Acer |
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 |
L1 Instruction Cache | 64.0 KB x 11 |
L1 Data Cache | 48.0 KB x 11 |
L2 Cache | 2.00 MB x 2 |
L3 Cache | 24.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) Arc(TM) Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1429
267.4 IPS |
|
Image Classification (F16)
|
100% |
1415
264.8 IPS |
|
Image Classification (I8)
|
100% |
1269
237.4 IPS |
|
Image Segmentation (F32)
|
100% |
1561
26.1 IPS |
|
Image Segmentation (F16)
|
100% |
1547
25.8 IPS |
|
Image Segmentation (I8)
|
98% |
1357
22.7 IPS |
|
Pose Estimation (F32)
|
100% |
13942
16.9 IPS |
|
Pose Estimation (F16)
|
100% |
14139
17.1 IPS |
|
Pose Estimation (I8)
|
100% |
12170
14.7 IPS |
|
Object Detection (F32)
|
100% |
1259
94.0 IPS |
|
Object Detection (F16)
|
100% |
1251
93.4 IPS |
|
Object Detection (I8)
|
54% |
1176
87.8 IPS |
|
Face Detection (F32)
|
100% |
1234
14.7 IPS |
|
Face Detection (F16)
|
100% |
1239
14.7 IPS |
|
Face Detection (I8)
|
89% |
1106
13.2 IPS |
|
Depth Estimation (F32)
|
100% |
7857
60.9 IPS |
|
Depth Estimation (F16)
|
100% |
7984
61.9 IPS |
|
Depth Estimation (I8)
|
95% |
6679
51.8 IPS |
|
Style Transfer (F32)
|
100% |
42717
56.2 IPS |
|
Style Transfer (F16)
|
100% |
41577
54.7 IPS |
|
Style Transfer (I8)
|
98% |
31720
41.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
7703
275.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
7616
272.0 IPS |
|
Image Super-Resolution (I8)
|
99% |
5234
186.9 IPS |
|
Text Classification (F32)
|
90% |
762
1.10 KIPS |
|
Text Classification (F16)
|
90% |
772
1.11 KIPS |
|
Text Classification (I8)
|
90% |
578
830.8 IPS |
|
Machine Translation (F32)
|
100% |
1604
29.5 IPS |
|
Machine Translation (F16)
|
100% |
1600
29.4 IPS |
|
Machine Translation (I8)
|
70% |
909
16.7 IPS |