User | fthiess |
Upload Date | August 16 2024 07:22 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Intel(R) Client Systems NUC13RNGi7 |
Motherboard | Intel Corporation NUC13SBBi7 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-13700K |
Topology | 1 Processor, 16 Cores, 24 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.40 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 8 Cores |
L1 Instruction Cache | 32.0 KB x 12 |
L1 Data Cache | 48.0 KB x 12 |
L2 Cache | 2.00 MB x 3 |
L3 Cache | 30.0 MB x 1 |
Memory Information | |
---|---|
Size | 64.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4080 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
11124
2.08 KIPS |
|
Image Classification (F16)
|
100% |
11027
2.06 KIPS |
|
Image Classification (I8)
|
100% |
10087
1.89 KIPS |
|
Image Segmentation (F32)
|
100% |
16575
276.8 IPS |
|
Image Segmentation (F16)
|
100% |
16514
275.8 IPS |
|
Image Segmentation (I8)
|
98% |
15329
256.0 IPS |
|
Pose Estimation (F32)
|
100% |
231004
279.7 IPS |
|
Pose Estimation (F16)
|
100% |
217503
263.4 IPS |
|
Pose Estimation (I8)
|
100% |
158599
192.1 IPS |
|
Object Detection (F32)
|
100% |
7259
541.9 IPS |
|
Object Detection (F16)
|
100% |
7333
547.5 IPS |
|
Object Detection (I8)
|
56% |
6961
519.7 IPS |
|
Face Detection (F32)
|
100% |
36145
429.8 IPS |
|
Face Detection (F16)
|
100% |
35573
423.0 IPS |
|
Face Detection (I8)
|
89% |
28567
339.7 IPS |
|
Depth Estimation (F32)
|
100% |
72443
561.8 IPS |
|
Depth Estimation (F16)
|
100% |
67169
520.9 IPS |
|
Depth Estimation (I8)
|
94% |
54128
419.8 IPS |
|
Style Transfer (F32)
|
100% |
327760
431.1 IPS |
|
Style Transfer (F16)
|
100% |
311811
410.2 IPS |
|
Style Transfer (I8)
|
98% |
285756
375.9 IPS |
|
Image Super-Resolution (F32)
|
100% |
44622
1.59 KIPS |
|
Image Super-Resolution (F16)
|
100% |
47947
1.71 KIPS |
|
Image Super-Resolution (I8)
|
99% |
35257
1.26 KIPS |
|
Text Classification (F32)
|
100% |
3142
4.52 KIPS |
|
Text Classification (F16)
|
100% |
3154
4.53 KIPS |
|
Text Classification (I8)
|
98% |
1924
2.76 KIPS |
|
Machine Translation (F32)
|
100% |
4480
82.5 IPS |
|
Machine Translation (F16)
|
100% |
4405
81.1 IPS |
|
Machine Translation (I8)
|
70% |
2633
48.5 IPS |