ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
15895
Single Precision Score
28420
Half Precision Score
12486
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 08:09 AM |
| Views | 2 |
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% |
5972
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
9913
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
5090
946.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
13355
216.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21850
354.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11697
190.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
95130
111.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
275448
321.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
79749
93.4 IPS |
|
|
Object Detection (SP)
|
100% |
8086
641.4 IPS |
|
|
Object Detection (HP)
|
100% |
13694
1.09 KIPS |
|
|
Object Detection (Q)
|
86% |
6837
549.3 IPS |
|
|
Face Detection (SP)
|
100% |
24906
295.9 IPS |
|
|
Face Detection (HP)
|
100% |
40199
477.7 IPS |
|
|
Face Detection (Q)
|
97% |
20430
243.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
35136
270.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
69030
531.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
26184
209.1 IPS |
|
|
Style Transfer (SP)
|
100% |
132140
169.9 IPS |
|
|
Style Transfer (HP)
|
100% |
447980
575.9 IPS |
|
|
Style Transfer (Q)
|
98% |
115033
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21702
801.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36543
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16182
599.2 IPS |
|
|
Text Classification (SP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1029
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2770
52.0 IPS |
