ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW
Geekbench AI Score
8721
Single Precision Score
8608
Half Precision Score
15454
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | March 25 2026 07:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
5440
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
6310
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
10130
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7768
125.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12345
200.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14246
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13216
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
28366
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
5239
415.6 IPS |
|
|
Object Detection (HP)
|
100% |
6414
508.8 IPS |
|
|
Object Detection (Q)
|
88% |
10457
838.2 IPS |
|
|
Face Detection (SP)
|
100% |
15586
185.2 IPS |
|
|
Face Detection (HP)
|
100% |
17786
211.3 IPS |
|
|
Face Detection (Q)
|
100% |
28192
335.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13773
106.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15308
117.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29609
230.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39782
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25322
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85243
109.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7954
293.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7824
288.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16750
620.3 IPS |
|
|
Text Classification (SP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5759
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3186
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5246
90.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3052
52.6 IPS |
