ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
8221
Single Precision Score
10063
Half Precision Score
15522
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Maximum_Game |
| Upload Date | October 09 2025 10:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
5215
969.8 IPS |
|
|
Image Classification (HP)
|
100% |
7143
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9973
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7360
119.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3954
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12426
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34210
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74953
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
4978
394.8 IPS |
|
|
Object Detection (HP)
|
100% |
6259
496.5 IPS |
|
|
Object Detection (Q)
|
87% |
10328
828.9 IPS |
|
|
Face Detection (SP)
|
100% |
15553
184.8 IPS |
|
|
Face Detection (HP)
|
100% |
16701
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
29041
345.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13113
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18682
143.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34537
268.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27869
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51787
66.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96689
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14539
536.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26627
986.1 IPS |
|
|
Text Classification (SP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2289
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3659
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4436
76.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4502
77.6 IPS |
