ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
4579
Single Precision Score
6263
Half Precision Score
3049
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | awkh1982 |
| Upload Date | May 17 2025 12:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW |
| Motherboard | ASUSTeK COMPUTER INC. G835LW |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2650
492.7 IPS |
|
|
Image Classification (HP)
|
100% |
3755
698.3 IPS |
|
|
Image Classification (Q)
|
99% |
1913
356.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5341
86.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2239
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9981
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16415
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
8544
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
2800
222.1 IPS |
|
|
Object Detection (HP)
|
100% |
4370
346.6 IPS |
|
|
Object Detection (Q)
|
86% |
2071
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
5684
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
8929
106.1 IPS |
|
|
Face Detection (Q)
|
97% |
3555
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9485
73.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15110
116.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6717
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26298
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41664
53.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19799
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4575
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7132
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3080
114.1 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
675
900.7 IPS |
|
|
Text Classification (Q)
|
97% |
677
907.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2388
41.3 IPS |
|
|
Machine Translation (Q)
|
70% |
932
17.5 IPS |
