Upload Date | September 17 2024 06:36 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Intel(R) Client Systems NUC13RNGi9 |
Motherboard | Intel Corporation NUC13SBBi9 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i9-13900K |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.00 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
L1 Instruction Cache | 32.0 KB x 16 |
L1 Data Cache | 48.0 KB x 16 |
L2 Cache | 2.00 MB x 4 |
L3 Cache | 36.0 MB x 1 |
Memory Information | |
---|---|
Size | 64.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA RTX 5000 Ada Generation |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
11378
2.13 KIPS |
|
Image Classification (F16)
|
100% |
12044
2.25 KIPS |
|
Image Classification (I8)
|
100% |
10350
1.94 KIPS |
|
Image Segmentation (F32)
|
100% |
17320
289.3 IPS |
|
Image Segmentation (F16)
|
100% |
17232
287.8 IPS |
|
Image Segmentation (I8)
|
98% |
15799
263.9 IPS |
|
Pose Estimation (F32)
|
100% |
244563
296.2 IPS |
|
Pose Estimation (F16)
|
100% |
245348
297.1 IPS |
|
Pose Estimation (I8)
|
100% |
216556
262.2 IPS |
|
Object Detection (F32)
|
100% |
7912
590.7 IPS |
|
Object Detection (F16)
|
100% |
7927
591.8 IPS |
|
Object Detection (I8)
|
56% |
7520
561.4 IPS |
|
Face Detection (F32)
|
100% |
37888
450.5 IPS |
|
Face Detection (F16)
|
100% |
39005
463.8 IPS |
|
Face Detection (I8)
|
88% |
32516
386.6 IPS |
|
Depth Estimation (F32)
|
100% |
75143
582.7 IPS |
|
Depth Estimation (F16)
|
100% |
72914
565.4 IPS |
|
Depth Estimation (I8)
|
95% |
56040
434.6 IPS |
|
Style Transfer (F32)
|
100% |
384349
505.6 IPS |
|
Style Transfer (F16)
|
100% |
381023
501.2 IPS |
|
Style Transfer (I8)
|
98% |
329426
433.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
51609
1.84 KIPS |
|
Image Super-Resolution (F16)
|
100% |
50253
1.79 KIPS |
|
Image Super-Resolution (I8)
|
99% |
38385
1.37 KIPS |
|
Text Classification (F32)
|
100% |
3114
4.48 KIPS |
|
Text Classification (F16)
|
100% |
3106
4.46 KIPS |
|
Text Classification (I8)
|
98% |
1881
2.70 KIPS |
|
Machine Translation (F32)
|
100% |
4294
79.0 IPS |
|
Machine Translation (F16)
|
100% |
4304
79.2 IPS |
|
Machine Translation (I8)
|
70% |
2466
45.4 IPS |