ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
5391
Single Precision Score
5267
Half Precision Score
11188
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | April 21 2025 03:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX |
| Motherboard | ASUSTeK COMPUTER INC. G835LX |
| Power Plan | Performance |
| 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% |
3509
652.6 IPS |
|
|
Image Classification (HP)
|
100% |
2888
537.1 IPS |
|
|
Image Classification (Q)
|
100% |
7501
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4366
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9823
159.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8771
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7110
8.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
21056
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2906
230.5 IPS |
|
|
Object Detection (HP)
|
100% |
3205
254.2 IPS |
|
|
Object Detection (Q)
|
88% |
7838
628.3 IPS |
|
|
Face Detection (SP)
|
100% |
9176
109.0 IPS |
|
|
Face Detection (HP)
|
100% |
10264
122.0 IPS |
|
|
Face Detection (Q)
|
100% |
20316
241.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7886
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8383
64.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21603
168.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22961
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23051
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41802
53.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4697
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12391
458.9 IPS |
|
|
Text Classification (SP)
|
100% |
2822
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
4747
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4881
84.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2342
40.3 IPS |
