ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
5230
Single Precision Score
8622
Half Precision Score
12886
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | April 21 2025 03:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
3777
702.5 IPS |
|
|
Image Classification (HP)
|
100% |
5808
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7737
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3728
60.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8872
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12682
205.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11367
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
10679
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
32643
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3587
284.5 IPS |
|
|
Object Detection (HP)
|
100% |
5674
450.1 IPS |
|
|
Object Detection (Q)
|
88% |
8797
705.0 IPS |
|
|
Face Detection (SP)
|
100% |
7774
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
15372
182.7 IPS |
|
|
Face Detection (Q)
|
100% |
23342
277.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11033
85.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
21097
163.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
23955
186.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26982
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37381
48.1 IPS |
|
|
Style Transfer (Q)
|
98% |
78728
101.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5044
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8936
330.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13734
508.6 IPS |
|
|
Text Classification (SP)
|
71% |
1065
1.54 KIPS |
|
|
Text Classification (HP)
|
71% |
2169
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2389
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3097
53.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3102
53.4 IPS |
