Upload Date | July 27 2024 04:50 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Microsoft Corporation Surface Laptop Studio 2 |
Motherboard | Microsoft Corporation Surface Laptop Studio 2 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-13700H |
Topology | 1 Processor, 14 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
Base Frequency | 2.90 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 8 Cores |
L1 Instruction Cache | 64.0 KB x 10 |
L1 Data Cache | 32.0 KB x 10 |
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) Iris(R) Xe Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
310
58.1 IPS |
|
Image Classification (F16)
|
100% |
303
56.7 IPS |
|
Image Classification (I8)
|
100% |
241
45.2 IPS |
|
Image Segmentation (F32)
|
100% |
473
7.90 IPS |
|
Image Segmentation (F16)
|
100% |
484
8.08 IPS |
|
Image Segmentation (I8)
|
98% |
335
5.59 IPS |
|
Pose Estimation (F32)
|
100% |
2743
3.32 IPS |
|
Pose Estimation (F16)
|
100% |
2707
3.28 IPS |
|
Pose Estimation (I8)
|
100% |
1278
1.55 IPS |
|
Object Detection (F32)
|
100% |
364
27.2 IPS |
|
Object Detection (F16)
|
100% |
348
26.0 IPS |
|
Object Detection (I8)
|
54% |
303
22.7 IPS |
|
Face Detection (F32)
|
100% |
669
7.95 IPS |
|
Face Detection (F16)
|
100% |
673
8.00 IPS |
|
Face Detection (I8)
|
89% |
443
5.27 IPS |
|
Depth Estimation (F32)
|
100% |
1394
10.8 IPS |
|
Depth Estimation (F16)
|
100% |
1393
10.8 IPS |
|
Depth Estimation (I8)
|
95% |
987
7.65 IPS |
|
Style Transfer (F32)
|
100% |
5755
7.57 IPS |
|
Style Transfer (F16)
|
100% |
5636
7.41 IPS |
|
Style Transfer (I8)
|
98% |
3643
4.79 IPS |
|
Image Super-Resolution (F32)
|
100% |
881
31.5 IPS |
|
Image Super-Resolution (F16)
|
100% |
859
30.7 IPS |
|
Image Super-Resolution (I8)
|
99% |
354
12.6 IPS |
|
Text Classification (F32)
|
100% |
206
296.7 IPS |
|
Text Classification (F16)
|
100% |
191
275.2 IPS |
|
Text Classification (I8)
|
98% |
110
157.8 IPS |
|
Machine Translation (F32)
|
100% |
288
5.30 IPS |
|
Machine Translation (F16)
|
100% |
287
5.28 IPS |
|
Machine Translation (I8)
|
70% |
137
2.53 IPS |