ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
4023
Single Precision Score
6741
Half Precision Score
10596
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Death_Angel_83 |
| Upload Date | January 05 2026 10:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2688
499.8 IPS |
|
|
Image Classification (HP)
|
100% |
4348
808.6 IPS |
|
|
Image Classification (Q)
|
100% |
5568
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8441
136.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10977
177.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9706
11.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
5502
6.44 IPS |
|
|
Pose Estimation (Q)
|
97% |
21320
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (Q)
|
88% |
3704
296.8 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
11683
138.8 IPS |
|
|
Face Detection (Q)
|
100% |
23262
276.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10514
81.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
17564
135.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
22638
176.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24963
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32909
42.3 IPS |
|
|
Style Transfer (Q)
|
98% |
77652
100.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4250
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8032
296.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12517
463.5 IPS |
|
|
Text Classification (SP)
|
71% |
1368
1.98 KIPS |
|
|
Text Classification (HP)
|
71% |
2508
3.63 KIPS |
|
|
Text Classification (Q)
|
92% |
2439
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2961
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2961
51.2 IPS |
