ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW
Geekbench AI Score
8369
Single Precision Score
9999
Half Precision Score
15354
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tanousjm |
| Upload Date | May 20 2025 08:48 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
5391
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
7098
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9866
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7652
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3996
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13413
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34304
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75178
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
5263
417.4 IPS |
|
|
Object Detection (HP)
|
100% |
6178
490.1 IPS |
|
|
Object Detection (Q)
|
87% |
10114
811.8 IPS |
|
|
Face Detection (SP)
|
100% |
15236
181.0 IPS |
|
|
Face Detection (HP)
|
100% |
17111
203.3 IPS |
|
|
Face Detection (Q)
|
100% |
29249
347.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13506
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18698
144.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
34723
270.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25632
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52196
67.1 IPS |
|
|
Style Transfer (Q)
|
98% |
96464
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7974
294.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14340
529.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25966
961.6 IPS |
|
|
Text Classification (SP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2117
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4460
76.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4512
77.7 IPS |
