ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
18987
Single Precision Score
33803
Half Precision Score
15518
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 08:43 AM |
| Views | 4 |
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% |
6094
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
10100
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
5111
950.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
13439
217.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22247
360.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11638
189.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
92787
108.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
278381
324.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
79562
93.2 IPS |
|
|
Object Detection (SP)
|
100% |
8053
638.8 IPS |
|
|
Object Detection (HP)
|
100% |
13461
1.07 KIPS |
|
|
Object Detection (Q)
|
86% |
6769
543.9 IPS |
|
|
Face Detection (SP)
|
100% |
25055
297.7 IPS |
|
|
Face Detection (HP)
|
100% |
39233
466.2 IPS |
|
|
Face Detection (Q)
|
97% |
20439
243.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
35025
269.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
69467
535.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
26457
211.3 IPS |
|
|
Style Transfer (SP)
|
100% |
131737
169.4 IPS |
|
|
Style Transfer (HP)
|
100% |
439625
565.1 IPS |
|
|
Style Transfer (Q)
|
98% |
240889
310.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42036
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73382
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32884
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4212
5.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2066
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
6215
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6247
107.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2857
53.6 IPS |
