ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
4601
Single Precision Score
6235
Half Precision Score
3070
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Maximum_Game |
| Upload Date | October 09 2025 10:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2689
500.1 IPS |
|
|
Image Classification (HP)
|
100% |
3823
711.0 IPS |
|
|
Image Classification (Q)
|
99% |
1908
355.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3294
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5280
85.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2236
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9756
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16184
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
8423
9.87 IPS |
|
|
Object Detection (SP)
|
100% |
2715
215.4 IPS |
|
|
Object Detection (HP)
|
100% |
4311
342.0 IPS |
|
|
Object Detection (Q)
|
86% |
2059
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
5600
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
9073
107.8 IPS |
|
|
Face Detection (Q)
|
97% |
3569
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9625
74.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14423
111.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6892
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26118
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40925
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20029
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4537
167.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6887
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3109
115.1 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
710
947.5 IPS |
|
|
Text Classification (Q)
|
97% |
695
931.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2408
41.6 IPS |
|
|
Machine Translation (Q)
|
70% |
946
17.7 IPS |
