ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
30105
Single Precision Score
52507
Half Precision Score
23175
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | smart1978 |
| Upload Date | November 19 2025 06:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX |
| Motherboard | ASUSTeK COMPUTER INC. G635LX |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11870
2.21 KIPS |
|
|
Image Classification (HP)
|
100% |
18677
3.47 KIPS |
|
|
Image Classification (Q)
|
100% |
10511
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22978
372.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
33134
537.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21054
342.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
183718
214.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
559924
653.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
153575
179.9 IPS |
|
|
Object Detection (SP)
|
100% |
15505
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
24366
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
13399
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
44589
529.8 IPS |
|
|
Face Detection (HP)
|
100% |
66811
793.9 IPS |
|
|
Face Detection (Q)
|
97% |
37822
451.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
71577
551.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
154045
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55522
443.4 IPS |
|
|
Style Transfer (SP)
|
100% |
259317
333.4 IPS |
|
|
Style Transfer (HP)
|
100% |
872152
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
226852
292.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42711
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70705
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33531
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4701
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2138
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
6339
109.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6324
108.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2874
53.9 IPS |
