Upload Date | June 25 2025 04:24 PM |
Views | 3 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | KHADAS Mind 2s |
Motherboard | KHADAS MIND-2S-K1018 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 7 255H |
Topology | 1 Processor, 16 Cores |
Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
Base Frequency | 2.00 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
L1 Instruction Cache | 64.0 KB x 8 |
L1 Data Cache | 48.0 KB x 8 |
L2 Cache | 3.00 MB x 2 |
L3 Cache | 24.0 MB x 1 |
Memory Information | |
---|---|
Size | 64.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1773
331.9 IPS |
|
Image Classification (F16)
|
100% |
1790
335.0 IPS |
|
Image Classification (I8)
|
99% |
3424
640.7 IPS |
|
Image Segmentation (F32)
|
100% |
1164
19.4 IPS |
|
Image Segmentation (F16)
|
100% |
1203
20.1 IPS |
|
Image Segmentation (I8)
|
98% |
2780
46.4 IPS |
|
Pose Estimation (F32)
|
100% |
6003
7.27 IPS |
|
Pose Estimation (F16)
|
100% |
6143
7.44 IPS |
|
Pose Estimation (I8)
|
100% |
23262
28.2 IPS |
|
Object Detection (F32)
|
100% |
1699
126.8 IPS |
|
Object Detection (F16)
|
100% |
1796
134.1 IPS |
|
Object Detection (I8)
|
62% |
866
64.6 IPS |
|
Face Detection (F32)
|
100% |
2076
24.7 IPS |
|
Face Detection (F16)
|
100% |
2379
28.3 IPS |
|
Face Detection (I8)
|
89% |
4205
50.0 IPS |
|
Depth Estimation (F32)
|
100% |
6782
52.6 IPS |
|
Depth Estimation (F16)
|
100% |
6538
50.7 IPS |
|
Depth Estimation (I8)
|
96% |
13912
107.9 IPS |
|
Style Transfer (F32)
|
100% |
10903
14.3 IPS |
|
Style Transfer (F16)
|
100% |
12430
16.4 IPS |
|
Style Transfer (I8)
|
98% |
23065
30.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
2976
106.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
2961
105.7 IPS |
|
Image Super-Resolution (I8)
|
99% |
2614
93.3 IPS |
|
Text Classification (F32)
|
100% |
1183
1.70 KIPS |
|
Text Classification (F16)
|
100% |
1117
1.60 KIPS |
|
Text Classification (I8)
|
98% |
1086
1.56 KIPS |
|
Machine Translation (F32)
|
100% |
1645
30.3 IPS |
|
Machine Translation (F16)
|
100% |
1601
29.5 IPS |
|
Machine Translation (I8)
|
67% |
3432
63.2 IPS |