Upload Date | May 08 2024 01:28 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B660 DS3H DDR4 |
Motherboard | Gigabyte Technology Co., Ltd. B660 DS3H DDR4 |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core i5-13500 |
Topology | 1 Processor, 14 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
Base Frequency | 2.50 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 8 Cores |
L1 Instruction Cache | 32.0 KB x 10 |
L1 Data Cache | 48.0 KB x 10 |
L2 Cache | 1.25 MB x 2 |
L3 Cache | 24.0 MB x 1 |
Memory Information | |
---|---|
Size | 16.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1915
358.3 IPS |
|
Image Classification (F16)
|
100% |
1892
354.0 IPS |
|
Image Classification (I8)
|
99% |
3374
631.4 IPS |
|
Image Segmentation (F32)
|
100% |
1796
30.0 IPS |
|
Image Segmentation (F16)
|
100% |
1738
29.0 IPS |
|
Image Segmentation (I8)
|
98% |
2540
42.4 IPS |
|
Pose Estimation (F32)
|
100% |
6074
7.36 IPS |
|
Pose Estimation (F16)
|
100% |
6203
7.51 IPS |
|
Pose Estimation (I8)
|
100% |
20427
24.7 IPS |
|
Object Detection (F32)
|
100% |
1880
140.4 IPS |
|
Object Detection (F16)
|
100% |
1841
137.5 IPS |
|
Object Detection (I8)
|
62% |
1763
131.6 IPS |
|
Face Detection (F32)
|
100% |
3109
37.0 IPS |
|
Face Detection (F16)
|
100% |
3147
37.4 IPS |
|
Face Detection (I8)
|
89% |
3930
46.7 IPS |
|
Depth Estimation (F32)
|
100% |
7191
55.8 IPS |
|
Depth Estimation (F16)
|
100% |
7233
56.1 IPS |
|
Depth Estimation (I8)
|
96% |
13472
104.5 IPS |
|
Style Transfer (F32)
|
100% |
15035
19.8 IPS |
|
Style Transfer (F16)
|
100% |
14856
19.5 IPS |
|
Style Transfer (I8)
|
98% |
18835
24.8 IPS |
|
Image Super-Resolution (F32)
|
100% |
3259
116.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
3327
118.8 IPS |
|
Image Super-Resolution (I8)
|
99% |
4917
175.6 IPS |
|
Text Classification (F32)
|
100% |
1414
2.03 KIPS |
|
Text Classification (F16)
|
100% |
1408
2.02 KIPS |
|
Text Classification (I8)
|
98% |
433
622.8 IPS |
|
Machine Translation (F32)
|
100% |
1855
34.1 IPS |
|
Machine Translation (F16)
|
100% |
1862
34.3 IPS |
|
Machine Translation (I8)
|
67% |
2535
46.6 IPS |