ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
30175
Single Precision Score
52462
Half Precision Score
23216
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 10:23 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 | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12009
2.23 KIPS |
|
|
Image Classification (HP)
|
100% |
18787
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
10505
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22635
366.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32742
530.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20237
329.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
185694
216.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
560111
653.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
159044
186.3 IPS |
|
|
Object Detection (SP)
|
100% |
15938
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
25026
1.99 KIPS |
|
|
Object Detection (Q)
|
86% |
13754
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
45554
541.3 IPS |
|
|
Face Detection (HP)
|
100% |
68032
808.4 IPS |
|
|
Face Detection (Q)
|
97% |
37821
450.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
72907
561.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
151416
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55670
444.6 IPS |
|
|
Style Transfer (SP)
|
100% |
264011
339.4 IPS |
|
|
Style Transfer (HP)
|
100% |
897303
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
238009
306.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43444
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73468
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32965
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4321
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2082
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
6183
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6242
107.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2845
53.4 IPS |
