ASUSTeK COMPUTER INC. ROG Strix G18 G815LW
Geekbench ML Score
5548
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 08:48 PM |
| Views | 13 |
System Information
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2733
511.5 IPS |
|
|
Image Classification (F16)
|
100% |
2675
500.6 IPS |
|
|
Image Classification (I8)
|
99% |
4575
856.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2243
37.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2253
37.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3632
60.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
15088
18.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
14912
18.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
47671
57.7 IPS |
|
|
Object Detection (F32)
|
100% |
2728
203.6 IPS |
|
|
Object Detection (F16)
|
100% |
2636
196.8 IPS |
|
|
Object Detection (I8)
|
62% |
2467
184.2 IPS |
|
|
Face Detection (F32)
|
100% |
5178
61.6 IPS |
|
|
Face Detection (F16)
|
100% |
5202
61.9 IPS |
|
|
Face Detection (I8)
|
89% |
5286
62.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
11965
92.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11809
91.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
20357
157.9 IPS |
|
|
Style Transfer (F32)
|
100% |
30440
40.0 IPS |
|
|
Style Transfer (F16)
|
100% |
30950
40.7 IPS |
|
|
Style Transfer (I8)
|
98% |
26858
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5415
193.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5472
195.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6014
214.8 IPS |
|
|
Text Classification (F32)
|
100% |
1702
2.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1687
2.42 KIPS |
|
|
Text Classification (I8)
|
98% |
1294
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
2580
47.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2591
47.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3948
72.7 IPS |
