ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
27918
Single Precision Score
47339
Half Precision Score
21552
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 09:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW |
| Motherboard | ASUSTeK COMPUTER INC. G835LW |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11006
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
16905
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
9919
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21221
344.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
31177
505.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18972
308.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
157065
183.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
426973
498.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
142124
166.5 IPS |
|
|
Object Detection (SP)
|
100% |
14229
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
23895
1.90 KIPS |
|
|
Object Detection (Q)
|
86% |
11752
944.2 IPS |
|
|
Face Detection (SP)
|
100% |
41241
490.0 IPS |
|
|
Face Detection (HP)
|
100% |
59921
712.0 IPS |
|
|
Face Detection (Q)
|
97% |
35164
419.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
67258
518.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
120032
924.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
52360
418.3 IPS |
|
|
Style Transfer (SP)
|
100% |
248057
318.9 IPS |
|
|
Style Transfer (HP)
|
100% |
807971
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
213569
275.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38765
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66893
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29899
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4350
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2051
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6086
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6217
107.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2853
53.5 IPS |
