ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW
Geekbench AI Score
27008
Single Precision Score
46288
Half Precision Score
21073
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | topgun966 |
| Upload Date | May 27 2025 02:45 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% |
10775
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
17559
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9672
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20697
335.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30380
492.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18548
301.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
153919
179.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
418348
488.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
140413
164.5 IPS |
|
|
Object Detection (SP)
|
100% |
13274
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
22624
1.79 KIPS |
|
|
Object Detection (Q)
|
86% |
11554
928.3 IPS |
|
|
Face Detection (SP)
|
100% |
40450
480.6 IPS |
|
|
Face Detection (HP)
|
100% |
57578
684.2 IPS |
|
|
Face Detection (Q)
|
97% |
34086
406.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
66347
511.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
120267
926.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
51352
410.2 IPS |
|
|
Style Transfer (SP)
|
100% |
239363
307.7 IPS |
|
|
Style Transfer (HP)
|
100% |
780326
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
207808
268.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37099
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66059
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29599
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1994
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5827
100.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5913
101.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2765
51.9 IPS |
