ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
21509
Single Precision Score
43752
Half Precision Score
17620
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | April 11 2025 07:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| 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 | PD 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% |
7952
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
17425
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
7378
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16275
263.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
29107
471.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16142
262.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
101701
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
394128
459.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
104192
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
10898
864.4 IPS |
|
|
Object Detection (HP)
|
100% |
22232
1.76 KIPS |
|
|
Object Detection (Q)
|
86% |
10130
813.9 IPS |
|
|
Face Detection (SP)
|
100% |
30216
359.0 IPS |
|
|
Face Detection (HP)
|
100% |
54778
650.9 IPS |
|
|
Face Detection (Q)
|
97% |
26442
315.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43081
331.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107972
831.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
39094
312.2 IPS |
|
|
Style Transfer (SP)
|
100% |
195964
251.9 IPS |
|
|
Style Transfer (HP)
|
100% |
625542
804.1 IPS |
|
|
Style Transfer (Q)
|
98% |
163507
210.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31101
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56511
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23901
885.0 IPS |
|
|
Text Classification (SP)
|
100% |
3154
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4349
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2003
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5906
101.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6362
109.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2837
53.2 IPS |
