ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
6523
Single Precision Score
2245
Half Precision Score
9434
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tanousjm |
| Upload Date | May 20 2025 08:44 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5131
954.2 IPS |
|
|
Image Classification (HP)
|
100% |
752
139.8 IPS |
|
|
Image Classification (Q)
|
99% |
9229
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4069
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14419
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7612
8.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
45521
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
4728
375.1 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (Q)
|
86% |
11315
909.4 IPS |
|
|
Face Detection (SP)
|
100% |
13194
156.8 IPS |
|
|
Face Detection (HP)
|
100% |
2255
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
12744
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15239
117.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3176
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
21661
172.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30609
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18130
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24910
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5008
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3044
112.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5884
217.9 IPS |
|
|
Text Classification (SP)
|
100% |
1802
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3030
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4221
84.8 IPS |
