ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW
Geekbench AI Score
26237
Single Precision Score
43934
Half Precision Score
19682
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | topgun966 |
| Upload Date | May 27 2025 02:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| 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% |
11023
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
17628
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9794
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20873
338.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
30805
499.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18684
303.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
155396
181.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
422248
492.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
127486
149.3 IPS |
|
|
Object Detection (SP)
|
100% |
13510
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
19954
1.58 KIPS |
|
|
Object Detection (Q)
|
86% |
11277
906.0 IPS |
|
|
Face Detection (SP)
|
100% |
37334
443.6 IPS |
|
|
Face Detection (HP)
|
100% |
52824
627.7 IPS |
|
|
Face Detection (Q)
|
97% |
31254
372.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
62521
481.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110603
852.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
47285
377.7 IPS |
|
|
Style Transfer (SP)
|
100% |
222821
286.4 IPS |
|
|
Style Transfer (HP)
|
100% |
728438
936.4 IPS |
|
|
Style Transfer (Q)
|
98% |
194687
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35785
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61863
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29653
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1800
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5375
92.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5698
98.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2160
40.5 IPS |
