ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
27528
Single Precision Score
47062
Half Precision Score
21266
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 11:55 PM |
| Views | 6 |
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 | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11151
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
17767
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9817
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21100
342.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
31698
513.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18916
307.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
154565
180.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
417169
486.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
139332
163.2 IPS |
|
|
Object Detection (SP)
|
100% |
13697
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
23108
1.83 KIPS |
|
|
Object Detection (Q)
|
86% |
11399
915.9 IPS |
|
|
Face Detection (SP)
|
100% |
39996
475.2 IPS |
|
|
Face Detection (HP)
|
100% |
57662
685.2 IPS |
|
|
Face Detection (Q)
|
97% |
34369
409.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
66848
515.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
122725
945.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
51934
414.9 IPS |
|
|
Style Transfer (SP)
|
100% |
241998
311.1 IPS |
|
|
Style Transfer (HP)
|
100% |
798410
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
209656
270.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38384
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66392
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29958
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4355
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2034
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
6121
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6010
103.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2813
52.8 IPS |
