ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
27585
Single Precision Score
47258
Half Precision Score
21322
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 03:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10929
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
17860
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9848
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21051
341.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31077
503.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18681
303.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
155391
181.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
416658
486.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
139179
163.0 IPS |
|
|
Object Detection (SP)
|
100% |
13922
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
24076
1.91 KIPS |
|
|
Object Detection (Q)
|
86% |
11475
921.9 IPS |
|
|
Face Detection (SP)
|
100% |
40864
485.6 IPS |
|
|
Face Detection (HP)
|
100% |
59694
709.3 IPS |
|
|
Face Detection (Q)
|
97% |
34442
410.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
65728
506.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
121231
934.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
52047
415.8 IPS |
|
|
Style Transfer (SP)
|
100% |
244918
314.8 IPS |
|
|
Style Transfer (HP)
|
100% |
800266
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
207392
267.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38061
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64942
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30304
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4341
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2039
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
6123
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6112
105.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2878
54.0 IPS |
