ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW
Geekbench AI Score
28318
Single Precision Score
48948
Half Precision Score
22218
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | March 25 2026 06:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW |
| Motherboard | ASUSTeK COMPUTER INC. G815LW |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11304
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
18651
3.47 KIPS |
|
|
Image Classification (Q)
|
100% |
10270
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21751
352.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
31894
517.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19756
321.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
157556
183.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
438275
511.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
141995
166.3 IPS |
|
|
Object Detection (SP)
|
100% |
14262
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
23667
1.88 KIPS |
|
|
Object Detection (Q)
|
86% |
12176
978.3 IPS |
|
|
Face Detection (SP)
|
100% |
41596
494.3 IPS |
|
|
Face Detection (HP)
|
100% |
60759
721.9 IPS |
|
|
Face Detection (Q)
|
97% |
35931
428.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
68603
528.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
132074
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55368
442.3 IPS |
|
|
Style Transfer (SP)
|
100% |
244325
314.1 IPS |
|
|
Style Transfer (HP)
|
100% |
802760
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
214545
276.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38589
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66986
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30670
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4673
6.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2171
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6261
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6346
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2941
55.2 IPS |
