Upload Date | May 08 2024 01:25 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% |
1906
356.7 IPS |
|
Image Classification (F16)
|
100% |
1914
358.1 IPS |
|
Image Classification (I8)
|
99% |
3403
636.8 IPS |
|
Image Segmentation (F32)
|
100% |
1748
29.2 IPS |
|
Image Segmentation (F16)
|
100% |
1736
29.0 IPS |
|
Image Segmentation (I8)
|
98% |
2423
40.5 IPS |
|
Pose Estimation (F32)
|
100% |
6263
7.58 IPS |
|
Pose Estimation (F16)
|
100% |
6190
7.50 IPS |
|
Pose Estimation (I8)
|
100% |
20054
24.3 IPS |
|
Object Detection (F32)
|
100% |
1806
134.8 IPS |
|
Object Detection (F16)
|
100% |
1815
135.5 IPS |
|
Object Detection (I8)
|
62% |
1953
145.8 IPS |
|
Face Detection (F32)
|
100% |
3063
36.4 IPS |
|
Face Detection (F16)
|
100% |
3114
37.0 IPS |
|
Face Detection (I8)
|
89% |
3942
46.9 IPS |
|
Depth Estimation (F32)
|
100% |
7163
55.6 IPS |
|
Depth Estimation (F16)
|
100% |
7263
56.3 IPS |
|
Depth Estimation (I8)
|
96% |
12938
100.3 IPS |
|
Style Transfer (F32)
|
100% |
14682
19.3 IPS |
|
Style Transfer (F16)
|
100% |
14738
19.4 IPS |
|
Style Transfer (I8)
|
98% |
18933
24.9 IPS |
|
Image Super-Resolution (F32)
|
100% |
3040
108.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
3429
122.5 IPS |
|
Image Super-Resolution (I8)
|
99% |
4742
169.4 IPS |
|
Text Classification (F32)
|
100% |
1383
1.99 KIPS |
|
Text Classification (F16)
|
100% |
1410
2.03 KIPS |
|
Text Classification (I8)
|
98% |
444
638.8 IPS |
|
Machine Translation (F32)
|
100% |
1822
33.5 IPS |
|
Machine Translation (F16)
|
100% |
1874
34.5 IPS |
|
Machine Translation (I8)
|
67% |
2584
47.5 IPS |