Upload Date | March 28 2024 01:44 AM |
Views | 12 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Acer Predator PH18-71 |
Motherboard | RPL EQS_RTX |
Power Plan | Acer |
CPU Information | |
---|---|
Name | Intel Core i9-13900HX |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 2.20 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 | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2084
390.0 IPS |
|
Image Classification (F16)
|
100% |
2091
391.3 IPS |
|
Image Classification (I8)
|
99% |
3431
642.0 IPS |
|
Image Segmentation (F32)
|
100% |
1914
32.0 IPS |
|
Image Segmentation (F16)
|
100% |
1917
32.0 IPS |
|
Image Segmentation (I8)
|
98% |
2827
47.2 IPS |
|
Pose Estimation (F32)
|
100% |
8465
10.3 IPS |
|
Pose Estimation (F16)
|
100% |
7327
8.87 IPS |
|
Pose Estimation (I8)
|
100% |
27521
33.3 IPS |
|
Object Detection (F32)
|
100% |
2052
153.2 IPS |
|
Object Detection (F16)
|
100% |
2098
156.6 IPS |
|
Object Detection (I8)
|
62% |
1878
140.2 IPS |
|
Face Detection (F32)
|
100% |
3345
39.8 IPS |
|
Face Detection (F16)
|
100% |
4231
50.3 IPS |
|
Face Detection (I8)
|
89% |
4430
52.7 IPS |
|
Depth Estimation (F32)
|
100% |
8915
69.1 IPS |
|
Depth Estimation (F16)
|
100% |
4533
35.2 IPS |
|
Depth Estimation (I8)
|
96% |
14061
109.0 IPS |
|
Style Transfer (F32)
|
100% |
16064
21.1 IPS |
|
Style Transfer (F16)
|
100% |
16290
21.4 IPS |
|
Style Transfer (I8)
|
98% |
23994
31.6 IPS |
|
Image Super-Resolution (F32)
|
100% |
3139
112.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
3951
141.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
5198
185.6 IPS |
|
Text Classification (F32)
|
100% |
1436
2.06 KIPS |
|
Text Classification (F16)
|
100% |
1418
2.04 KIPS |
|
Text Classification (I8)
|
98% |
442
635.9 IPS |
|
Machine Translation (F32)
|
100% |
1953
35.9 IPS |
|
Machine Translation (F16)
|
100% |
1652
30.4 IPS |
|
Machine Translation (I8)
|
67% |
2728
50.2 IPS |