ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
5492
Single Precision Score
8690
Half Precision Score
13112
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tanousjm |
| Upload Date | May 20 2025 08:52 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3833
712.7 IPS |
|
|
Image Classification (HP)
|
100% |
5811
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7715
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8800
142.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12572
203.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11491
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
10691
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
34516
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3566
282.9 IPS |
|
|
Object Detection (HP)
|
100% |
5664
449.3 IPS |
|
|
Object Detection (Q)
|
88% |
9152
733.4 IPS |
|
|
Face Detection (SP)
|
100% |
7325
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
15113
179.6 IPS |
|
|
Face Detection (Q)
|
100% |
22979
273.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12328
95.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
21624
167.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24662
191.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28219
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39945
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
80799
104.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9068
334.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14231
527.0 IPS |
|
|
Text Classification (SP)
|
71% |
1460
2.11 KIPS |
|
|
Text Classification (HP)
|
71% |
2189
3.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2437
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2118
36.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3062
52.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3088
53.2 IPS |
