ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
27976
Single Precision Score
47774
Half Precision Score
21523
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 05:26 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% |
11120
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
17879
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9943
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21230
344.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31123
504.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18871
306.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
156715
182.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
426251
497.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
140419
164.5 IPS |
|
|
Object Detection (SP)
|
100% |
14206
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
24096
1.91 KIPS |
|
|
Object Detection (Q)
|
86% |
11794
947.5 IPS |
|
|
Face Detection (SP)
|
100% |
41514
493.3 IPS |
|
|
Face Detection (HP)
|
100% |
59703
709.4 IPS |
|
|
Face Detection (Q)
|
97% |
34880
415.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
67464
519.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
122340
942.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
52259
417.5 IPS |
|
|
Style Transfer (SP)
|
100% |
244015
313.7 IPS |
|
|
Style Transfer (HP)
|
100% |
805971
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
217728
280.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38914
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67535
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30329
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4345
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2029
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
6193
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6274
108.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2812
52.7 IPS |
