Upload Date | August 22 2024 06:05 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Micro-Star International Co., Ltd. Cyborg 14 A13VF |
Motherboard | Micro-Star International Co., Ltd. MS-14P1 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-13620H |
Topology | 1 Processor, 10 Cores, 16 Threads |
Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
Base Frequency | 2.40 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 4 Cores |
L1 Instruction Cache | 32.0 KB x 8 |
L1 Data Cache | 48.0 KB x 8 |
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% |
1734
324.4 IPS |
|
Image Classification (F16)
|
100% |
1762
329.6 IPS |
|
Image Classification (I8)
|
99% |
3169
592.9 IPS |
|
Image Segmentation (F32)
|
100% |
1640
27.4 IPS |
|
Image Segmentation (F16)
|
100% |
1631
27.2 IPS |
|
Image Segmentation (I8)
|
98% |
2396
40.0 IPS |
|
Pose Estimation (F32)
|
100% |
5093
6.17 IPS |
|
Pose Estimation (F16)
|
100% |
5362
6.49 IPS |
|
Pose Estimation (I8)
|
100% |
17342
21.0 IPS |
|
Object Detection (F32)
|
100% |
1631
121.8 IPS |
|
Object Detection (F16)
|
100% |
1805
134.7 IPS |
|
Object Detection (I8)
|
62% |
1781
132.9 IPS |
|
Face Detection (F32)
|
100% |
3448
41.0 IPS |
|
Face Detection (F16)
|
100% |
3326
39.6 IPS |
|
Face Detection (I8)
|
89% |
3984
47.4 IPS |
|
Depth Estimation (F32)
|
100% |
6316
49.0 IPS |
|
Depth Estimation (F16)
|
100% |
6465
50.1 IPS |
|
Depth Estimation (I8)
|
96% |
12503
97.0 IPS |
|
Style Transfer (F32)
|
100% |
12674
16.7 IPS |
|
Style Transfer (F16)
|
100% |
13030
17.1 IPS |
|
Style Transfer (I8)
|
98% |
19800
26.0 IPS |
|
Image Super-Resolution (F32)
|
100% |
2950
105.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
2825
100.9 IPS |
|
Image Super-Resolution (I8)
|
99% |
4648
166.0 IPS |
|
Text Classification (F32)
|
100% |
1423
2.05 KIPS |
|
Text Classification (F16)
|
100% |
1485
2.13 KIPS |
|
Text Classification (I8)
|
98% |
452
649.0 IPS |
|
Machine Translation (F32)
|
100% |
1876
34.5 IPS |
|
Machine Translation (F16)
|
100% |
1942
35.7 IPS |
|
Machine Translation (I8)
|
67% |
2670
49.1 IPS |