ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
30577
Single Precision Score
53503
Half Precision Score
23426
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | smart1978 |
| Upload Date | December 02 2025 09:12 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX |
| Motherboard | ASUSTeK COMPUTER INC. G635LX |
| Power Plan | Performance |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12149
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
19804
3.68 KIPS |
|
|
Image Classification (Q)
|
100% |
10803
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23042
373.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
33515
543.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20559
334.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
186179
217.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
553130
645.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
159369
186.7 IPS |
|
|
Object Detection (SP)
|
100% |
15830
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
24855
1.97 KIPS |
|
|
Object Detection (Q)
|
86% |
13787
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
45133
536.3 IPS |
|
|
Face Detection (HP)
|
100% |
67293
799.6 IPS |
|
|
Face Detection (Q)
|
97% |
38323
456.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
73462
566.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
154264
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56362
450.1 IPS |
|
|
Style Transfer (SP)
|
100% |
262201
337.1 IPS |
|
|
Style Transfer (HP)
|
100% |
885143
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
231283
298.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43568
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73087
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32732
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3608
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2179
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
6337
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6399
110.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2863
53.7 IPS |
