ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
4598
Single Precision Score
6258
Half Precision Score
3072
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Maximum_Game |
| Upload Date | October 09 2025 10:21 PM |
| Views | 5 |
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% |
2708
503.6 IPS |
|
|
Image Classification (HP)
|
100% |
3902
725.6 IPS |
|
|
Image Classification (Q)
|
99% |
1914
357.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3279
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5260
85.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2199
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9758
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16058
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
8430
9.88 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.9 IPS |
|
|
Object Detection (HP)
|
100% |
4327
343.2 IPS |
|
|
Object Detection (Q)
|
86% |
2053
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
5581
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
8757
104.0 IPS |
|
|
Face Detection (Q)
|
97% |
3623
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9606
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14643
113.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6792
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26020
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40349
51.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20175
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6861
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3147
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
1230
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.4 IPS |
|
|
Text Classification (Q)
|
97% |
699
936.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2509
43.4 IPS |
|
|
Machine Translation (Q)
|
70% |
943
17.7 IPS |
