ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
30996
Single Precision Score
52331
Half Precision Score
23873
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Death_Angel_83 |
| Upload Date | January 05 2026 11:09 PM |
| 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 18 G835LX_G835LX |
| Motherboard | ASUSTeK COMPUTER INC. G835LX |
| Power Plan | Turbo |
| 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% |
12125
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
18893
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
10642
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22940
371.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32388
525.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20474
332.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
197235
230.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
583011
680.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
168146
197.0 IPS |
|
|
Object Detection (SP)
|
100% |
15588
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
23303
1.85 KIPS |
|
|
Object Detection (Q)
|
86% |
13341
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
45238
537.5 IPS |
|
|
Face Detection (HP)
|
100% |
65139
774.0 IPS |
|
|
Face Detection (Q)
|
97% |
38202
455.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
75625
582.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
151325
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58424
466.5 IPS |
|
|
Style Transfer (SP)
|
100% |
279761
359.6 IPS |
|
|
Style Transfer (HP)
|
100% |
884881
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
248034
319.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44336
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74073
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34341
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4635
6.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2243
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6187
106.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2886
54.1 IPS |
