| Upload Date | October 21 2025 08:41 PM |
| Views | 5 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G18 G815LW |
| Motherboard | ASUSTeK COMPUTER INC. G815LW |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2344
438.7 IPS |
|
|
Image Classification (F16)
|
100% |
2354
440.6 IPS |
|
|
Image Classification (I8)
|
100% |
1734
324.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
3043
50.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3037
50.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2122
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9697
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9595
11.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
8387
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
2405
179.6 IPS |
|
|
Object Detection (F16)
|
100% |
2424
181.0 IPS |
|
|
Object Detection (I8)
|
54% |
1809
135.1 IPS |
|
|
Face Detection (F32)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (F16)
|
100% |
4815
57.3 IPS |
|
|
Face Detection (I8)
|
89% |
3028
36.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9588
74.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9673
75.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
7125
55.3 IPS |
|
|
Style Transfer (F32)
|
100% |
25379
33.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25627
33.7 IPS |
|
|
Style Transfer (I8)
|
98% |
20242
26.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4902
175.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4907
175.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3318
118.5 IPS |
|
|
Text Classification (F32)
|
100% |
1067
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1058
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
641
921.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2166
39.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2131
39.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1055
19.4 IPS |