Upload Date | September 12 2024 05:37 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G834JYR_G834JYR |
Motherboard | ASUSTeK COMPUTER INC. G834JYR |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i9-14900HX |
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% |
2323
434.7 IPS |
|
Image Classification (F16)
|
100% |
2402
449.5 IPS |
|
Image Classification (I8)
|
99% |
3908
731.3 IPS |
|
Image Segmentation (F32)
|
100% |
2012
33.6 IPS |
|
Image Segmentation (F16)
|
100% |
2038
34.0 IPS |
|
Image Segmentation (I8)
|
98% |
3199
53.4 IPS |
|
Pose Estimation (F32)
|
100% |
9594
11.6 IPS |
|
Pose Estimation (F16)
|
100% |
9519
11.5 IPS |
|
Pose Estimation (I8)
|
100% |
29325
35.5 IPS |
|
Object Detection (F32)
|
100% |
2184
163.1 IPS |
|
Object Detection (F16)
|
100% |
2261
168.8 IPS |
|
Object Detection (I8)
|
62% |
1921
143.4 IPS |
|
Face Detection (F32)
|
100% |
4680
55.6 IPS |
|
Face Detection (F16)
|
100% |
4560
54.2 IPS |
|
Face Detection (I8)
|
89% |
4701
55.9 IPS |
|
Depth Estimation (F32)
|
100% |
9143
70.9 IPS |
|
Depth Estimation (F16)
|
100% |
9147
70.9 IPS |
|
Depth Estimation (I8)
|
96% |
15524
120.4 IPS |
|
Style Transfer (F32)
|
100% |
21993
28.9 IPS |
|
Style Transfer (F16)
|
100% |
21861
28.8 IPS |
|
Style Transfer (I8)
|
98% |
26162
34.4 IPS |
|
Image Super-Resolution (F32)
|
100% |
4419
157.8 IPS |
|
Image Super-Resolution (F16)
|
100% |
4427
158.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
5404
193.0 IPS |
|
Text Classification (F32)
|
100% |
1573
2.26 KIPS |
|
Text Classification (F16)
|
100% |
1599
2.30 KIPS |
|
Text Classification (I8)
|
98% |
404
580.2 IPS |
|
Machine Translation (F32)
|
100% |
2181
40.1 IPS |
|
Machine Translation (F16)
|
100% |
2231
41.0 IPS |
|
Machine Translation (I8)
|
67% |
3069
56.5 IPS |