ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
5873
Single Precision Score
9310
Half Precision Score
14023
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sahinkilinc |
| Upload Date | May 02 2025 09:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX |
| Motherboard | ASUSTeK COMPUTER INC. G835LX |
| Power Plan | Turbo |
| 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% |
3132
582.5 IPS |
|
|
Image Classification (HP)
|
100% |
6656
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9084
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4482
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3670
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9782
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33945
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73570
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
3829
303.7 IPS |
|
|
Object Detection (HP)
|
100% |
5606
444.7 IPS |
|
|
Object Detection (Q)
|
87% |
8842
709.6 IPS |
|
|
Face Detection (SP)
|
100% |
9422
112.0 IPS |
|
|
Face Detection (HP)
|
100% |
15011
178.4 IPS |
|
|
Face Detection (Q)
|
100% |
23816
283.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8886
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18114
139.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
33370
259.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30348
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52033
66.9 IPS |
|
|
Style Transfer (Q)
|
98% |
94573
122.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4659
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14024
517.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24903
922.3 IPS |
|
|
Text Classification (SP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (Q)
|
92% |
2212
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3277
56.4 IPS |
