ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
6154
Single Precision Score
2032
Half Precision Score
10464
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tanousjm |
| Upload Date | October 25 2025 02:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW |
| Motherboard | ASUSTeK COMPUTER INC. G835LW |
| Power Plan | Balanced |
| 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% |
4868
905.2 IPS |
|
|
Image Classification (HP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (Q)
|
99% |
8724
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15748
256.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12955
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6373
7.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
41885
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
4547
360.6 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
86% |
9773
785.5 IPS |
|
|
Face Detection (SP)
|
100% |
14041
166.8 IPS |
|
|
Face Detection (HP)
|
100% |
2335
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
12730
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13754
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2660
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
21688
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27014
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11737
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28115
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4752
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2390
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6685
247.5 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1490
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2683
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3621
72.8 IPS |
