ASUSTeK COMPUTER INC. ROG Strix G18 G815LW_G815LW
Geekbench AI Score
28349
Single Precision Score
49044
Half Precision Score
22069
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jimmydai666 |
| Upload Date | March 07 2026 02:16 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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% |
11278
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
17948
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10198
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21774
353.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
31940
517.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19430
315.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
158385
184.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
438730
511.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
141768
166.1 IPS |
|
|
Object Detection (SP)
|
100% |
14305
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
24386
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
12275
986.2 IPS |
|
|
Face Detection (SP)
|
100% |
41589
494.2 IPS |
|
|
Face Detection (HP)
|
100% |
59999
712.9 IPS |
|
|
Face Detection (Q)
|
97% |
35890
427.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
67642
521.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
130333
1.00 KIPS |
|
|
Depth Estimation (Q)
|
78% |
53833
430.0 IPS |
|
|
Style Transfer (SP)
|
100% |
244840
314.7 IPS |
|
|
Style Transfer (HP)
|
100% |
812597
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
213531
275.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38949
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66835
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30980
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4786
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2159
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6377
109.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6459
111.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2881
54.0 IPS |
