ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX
Geekbench AI Score
4994
Single Precision Score
1766
Half Precision Score
7387
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | April 11 2025 07:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | PD 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% |
3764
700.0 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (Q)
|
99% |
7092
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3252
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9609
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5576
6.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
19770
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
3565
282.8 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
86% |
8398
675.0 IPS |
|
|
Face Detection (SP)
|
100% |
10510
124.9 IPS |
|
|
Face Detection (HP)
|
100% |
1871
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
9941
118.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11073
85.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2436
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19821
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23518
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14840
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27631
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3901
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2573
95.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4889
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
1504
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1329
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3575
71.8 IPS |
