ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW
Geekbench AI Score
5345
Single Precision Score
1814
Half Precision Score
8564
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | topgun966 |
| Upload Date | May 27 2025 02:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW |
| Motherboard | ASUSTeK COMPUTER INC. G815LW |
| Power Plan | 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3988
741.6 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.1 IPS |
|
|
Image Classification (Q)
|
99% |
8960
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2646
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4590
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11667
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5626
6.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
38757
45.4 IPS |
|
|
Object Detection (SP)
|
100% |
3057
242.5 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
7474
600.7 IPS |
|
|
Face Detection (SP)
|
100% |
11081
131.7 IPS |
|
|
Face Detection (HP)
|
100% |
2009
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
11929
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10529
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2362
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16546
132.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25960
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11447
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26872
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4221
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2395
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5465
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1608
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3823
76.8 IPS |
