ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW
Geekbench AI Score
8650
Single Precision Score
10210
Half Precision Score
15930
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | August 04 2025 09:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW |
| Motherboard | ASUSTeK COMPUTER INC. G815LW |
| Power Plan | Turbo |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5121
952.3 IPS |
|
|
Image Classification (HP)
|
100% |
7123
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10133
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8240
133.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3564
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14049
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35106
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
76557
89.7 IPS |
|
|
Object Detection (SP)
|
100% |
5526
438.3 IPS |
|
|
Object Detection (HP)
|
100% |
6165
489.0 IPS |
|
|
Object Detection (Q)
|
88% |
10389
832.9 IPS |
|
|
Face Detection (SP)
|
100% |
15498
184.2 IPS |
|
|
Face Detection (HP)
|
100% |
17943
213.2 IPS |
|
|
Face Detection (Q)
|
100% |
33782
401.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14138
108.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18486
142.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34592
269.2 IPS |
|
|
Style Transfer (SP)
|
100% |
37997
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54280
69.8 IPS |
|
|
Style Transfer (Q)
|
98% |
97735
126.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8129
300.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16247
599.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31421
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2205
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2694
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4573
78.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4631
79.8 IPS |
