ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
8707
Single Precision Score
8711
Half Precision Score
14884
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tanousjm |
| Upload Date | May 20 2025 08:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
5640
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
6253
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
9815
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8075
130.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4545
73.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12101
196.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13710
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12797
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
26844
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
5080
403.0 IPS |
|
|
Object Detection (HP)
|
100% |
6465
512.8 IPS |
|
|
Object Detection (Q)
|
88% |
10212
818.6 IPS |
|
|
Face Detection (SP)
|
100% |
15270
181.4 IPS |
|
|
Face Detection (HP)
|
100% |
19124
227.2 IPS |
|
|
Face Detection (Q)
|
100% |
25867
307.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13934
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15096
116.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
25504
198.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35524
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22901
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
78273
100.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7970
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8115
299.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15479
573.2 IPS |
|
|
Text Classification (SP)
|
100% |
3795
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
5833
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6672
114.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3516
60.6 IPS |
