ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
15947
Single Precision Score
28717
Half Precision Score
11643
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 02:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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, 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% |
6093
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10148
1.89 KIPS |
|
|
Image Classification (Q)
|
100% |
5166
960.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
13737
222.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22474
364.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11790
191.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
93290
108.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
282973
330.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
79954
93.7 IPS |
|
|
Object Detection (SP)
|
100% |
8155
646.8 IPS |
|
|
Object Detection (HP)
|
100% |
13616
1.08 KIPS |
|
|
Object Detection (Q)
|
86% |
6823
548.2 IPS |
|
|
Face Detection (SP)
|
100% |
24809
294.8 IPS |
|
|
Face Detection (HP)
|
100% |
39419
468.4 IPS |
|
|
Face Detection (Q)
|
97% |
20474
244.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
35395
272.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
69749
537.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
26470
211.4 IPS |
|
|
Style Transfer (SP)
|
100% |
133907
172.1 IPS |
|
|
Style Transfer (HP)
|
100% |
445529
572.7 IPS |
|
|
Style Transfer (Q)
|
98% |
117613
151.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21294
786.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36906
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16294
603.3 IPS |
|
|
Text Classification (SP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1024
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1296
24.3 IPS |
