Upload Date | March 27 2025 09:28 AM |
Views | 7 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 21QESIT004 |
Motherboard | LENOVO 21QESIT004 |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 7 265H |
Topology | 1 Processor, 16 Cores |
Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
Base Frequency | 2.20 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 | |
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Framework | ONNX |
Backend | DirectML |
Device | Intel(R) Arc(TM) 140T GPU (16GB) |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
4028
753.8 IPS |
|
Image Classification (F16)
|
100% |
4043
756.5 IPS |
|
Image Classification (I8)
|
99% |
3254
608.9 IPS |
|
Image Segmentation (F32)
|
100% |
3454
57.7 IPS |
|
Image Segmentation (F16)
|
100% |
3290
55.0 IPS |
|
Image Segmentation (I8)
|
98% |
2679
44.7 IPS |
|
Pose Estimation (F32)
|
100% |
24858
30.1 IPS |
|
Pose Estimation (F16)
|
100% |
24952
30.2 IPS |
|
Pose Estimation (I8)
|
100% |
14459
17.5 IPS |
|
Object Detection (F32)
|
100% |
2860
213.5 IPS |
|
Object Detection (F16)
|
100% |
2241
167.3 IPS |
|
Object Detection (I8)
|
60% |
2360
176.2 IPS |
|
Face Detection (F32)
|
100% |
6146
73.1 IPS |
|
Face Detection (F16)
|
100% |
4445
52.9 IPS |
|
Face Detection (I8)
|
88% |
3644
43.3 IPS |
|
Depth Estimation (F32)
|
100% |
16532
128.2 IPS |
|
Depth Estimation (F16)
|
100% |
14990
116.2 IPS |
|
Depth Estimation (I8)
|
95% |
11527
89.4 IPS |
|
Style Transfer (F32)
|
100% |
51977
68.4 IPS |
|
Style Transfer (F16)
|
100% |
52992
69.7 IPS |
|
Style Transfer (I8)
|
98% |
39999
52.6 IPS |
|
Image Super-Resolution (F32)
|
100% |
8937
319.2 IPS |
|
Image Super-Resolution (F16)
|
100% |
9233
329.7 IPS |
|
Image Super-Resolution (I8)
|
99% |
5803
207.2 IPS |
|
Text Classification (F32)
|
90% |
783
1.13 KIPS |
|
Text Classification (F16)
|
90% |
847
1.22 KIPS |
|
Text Classification (I8)
|
90% |
617
886.6 IPS |
|
Machine Translation (F32)
|
100% |
2069
38.1 IPS |
|
Machine Translation (F16)
|
100% |
1903
35.0 IPS |
|
Machine Translation (I8)
|
70% |
1139
21.0 IPS |