ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
6601
Single Precision Score
2262
Half Precision Score
9686
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 11:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
4762
885.6 IPS |
|
|
Image Classification (HP)
|
100% |
753
140.1 IPS |
|
|
Image Classification (Q)
|
99% |
9459
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1354
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4455
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14537
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7600
8.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
42765
50.1 IPS |
|
|
Object Detection (SP)
|
100% |
4443
352.4 IPS |
|
|
Object Detection (HP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (Q)
|
86% |
11438
919.3 IPS |
|
|
Face Detection (SP)
|
100% |
13831
164.3 IPS |
|
|
Face Detection (HP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
13119
156.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15010
115.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3223
24.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
22397
178.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30366
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18631
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27156
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5028
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3127
115.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5962
220.8 IPS |
|
|
Text Classification (SP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1683
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4406
88.5 IPS |
