ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
27821
Single Precision Score
47917
Half Precision Score
21603
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:51 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 | 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% |
11121
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
18211
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10077
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21460
347.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
31594
512.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19204
312.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
158299
184.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
430523
502.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
140786
164.9 IPS |
|
|
Object Detection (SP)
|
100% |
13417
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
24001
1.90 KIPS |
|
|
Object Detection (Q)
|
86% |
11698
939.8 IPS |
|
|
Face Detection (SP)
|
100% |
40672
483.3 IPS |
|
|
Face Detection (HP)
|
100% |
58475
694.8 IPS |
|
|
Face Detection (Q)
|
97% |
34648
413.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
67777
522.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
121991
939.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
52361
418.3 IPS |
|
|
Style Transfer (SP)
|
100% |
243969
313.6 IPS |
|
|
Style Transfer (HP)
|
100% |
815904
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
213480
275.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38791
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67169
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30146
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4345
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2076
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6320
108.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2866
53.8 IPS |
