ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
5586
Single Precision Score
8984
Half Precision Score
13467
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Maximum_Game |
| Upload Date | October 09 2025 10:30 PM |
| Views | 3 |
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% |
3918
728.7 IPS |
|
|
Image Classification (HP)
|
100% |
5905
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7963
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4001
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8999
145.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11403
184.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11523
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
10784
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
36413
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
3623
287.4 IPS |
|
|
Object Detection (HP)
|
100% |
5660
449.0 IPS |
|
|
Object Detection (Q)
|
88% |
8910
714.0 IPS |
|
|
Face Detection (SP)
|
100% |
8019
95.3 IPS |
|
|
Face Detection (HP)
|
100% |
15852
188.4 IPS |
|
|
Face Detection (Q)
|
100% |
25157
298.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12222
94.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
21377
165.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24652
191.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28231
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39799
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
86107
111.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9105
336.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14473
536.0 IPS |
|
|
Text Classification (SP)
|
71% |
1558
2.25 KIPS |
|
|
Text Classification (HP)
|
71% |
2381
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
2402
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3615
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3588
62.0 IPS |
