ASUSTeK COMPUTER INC. ROG Strix G18 G815LW
Geekbench ML Score
21267
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 08:57 PM |
| Views | 8 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10061
1.88 KIPS |
|
|
Image Classification (F16)
|
100% |
9606
1.80 KIPS |
|
|
Image Classification (I8)
|
100% |
8589
1.61 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15663
261.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
15613
260.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
14527
242.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
142280
172.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
143317
173.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
128640
155.8 IPS |
|
|
Object Detection (F32)
|
100% |
7570
565.2 IPS |
|
|
Object Detection (F16)
|
100% |
7477
558.2 IPS |
|
|
Object Detection (I8)
|
50% |
6977
520.9 IPS |
|
|
Face Detection (F32)
|
100% |
32468
386.0 IPS |
|
|
Face Detection (F16)
|
100% |
32381
385.0 IPS |
|
|
Face Detection (I8)
|
89% |
27450
326.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
62250
482.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
61806
479.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
50021
387.9 IPS |
|
|
Style Transfer (F32)
|
100% |
225009
296.0 IPS |
|
|
Style Transfer (F16)
|
100% |
224330
295.1 IPS |
|
|
Style Transfer (I8)
|
98% |
195725
257.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
34625
1.24 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
36207
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
28255
1.01 KIPS |
|
|
Text Classification (F32)
|
100% |
2853
4.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3076
4.42 KIPS |
|
|
Text Classification (I8)
|
98% |
1887
2.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
4926
90.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4932
90.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2842
52.3 IPS |
