ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
5596
Single Precision Score
9028
Half Precision Score
13511
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Maximum_Game |
| Upload Date | October 09 2025 10:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX |
| Motherboard | ASUSTeK COMPUTER INC. G835LX |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
3913
727.7 IPS |
|
|
Image Classification (HP)
|
100% |
5904
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7930
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4014
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8952
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11392
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11517
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
10761
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
36294
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
3635
288.3 IPS |
|
|
Object Detection (HP)
|
100% |
5719
453.7 IPS |
|
|
Object Detection (Q)
|
88% |
9227
739.4 IPS |
|
|
Face Detection (SP)
|
100% |
8228
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
15740
187.0 IPS |
|
|
Face Detection (Q)
|
100% |
24820
294.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12276
94.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
21813
168.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24545
190.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28632
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40572
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
84976
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5096
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9190
339.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14728
545.5 IPS |
|
|
Text Classification (SP)
|
71% |
1521
2.20 KIPS |
|
|
Text Classification (HP)
|
71% |
2376
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
2426
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3636
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3625
62.6 IPS |
