ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
26345
Single Precision Score
48566
Half Precision Score
21368
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 11:55 PM |
| 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% |
6129
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10126
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
5191
965.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
13475
218.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
31704
513.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20027
325.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
179887
209.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
545894
637.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
153783
180.1 IPS |
|
|
Object Detection (SP)
|
100% |
15776
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
24682
1.96 KIPS |
|
|
Object Detection (Q)
|
86% |
13584
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
43994
522.7 IPS |
|
|
Face Detection (HP)
|
100% |
66439
789.4 IPS |
|
|
Face Detection (Q)
|
97% |
37512
447.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
71397
550.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
151200
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54628
436.2 IPS |
|
|
Style Transfer (SP)
|
100% |
258582
332.4 IPS |
|
|
Style Transfer (HP)
|
100% |
876002
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
235532
303.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41687
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73476
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32603
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4236
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2071
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
6120
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6162
106.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2805
52.6 IPS |
