ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LW_G635LW
Geekbench AI Score
27044
Single Precision Score
46019
Half Precision Score
20981
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 11:41 AM |
| Views | 4 |
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 16 G635LW_G635LW |
| Motherboard | ASUSTeK COMPUTER INC. G635LW |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10959
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
17490
3.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9779
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19718
319.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28135
456.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17882
290.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
157221
183.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
422802
493.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
141478
165.7 IPS |
|
|
Object Detection (SP)
|
100% |
13745
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
22928
1.82 KIPS |
|
|
Object Detection (Q)
|
86% |
11462
920.9 IPS |
|
|
Face Detection (SP)
|
100% |
38821
461.3 IPS |
|
|
Face Detection (HP)
|
100% |
55618
660.9 IPS |
|
|
Face Detection (Q)
|
97% |
33243
396.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
67471
519.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
121001
932.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
51936
414.9 IPS |
|
|
Style Transfer (SP)
|
100% |
241227
310.1 IPS |
|
|
Style Transfer (HP)
|
100% |
804778
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
208572
268.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38585
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67284
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30318
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4327
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2018
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5575
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5664
97.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2647
49.6 IPS |
