ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
5520
Single Precision Score
8934
Half Precision Score
13406
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | smart1978 |
| Upload Date | November 19 2025 06:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX |
| Motherboard | ASUSTeK COMPUTER INC. G635LX |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3864
718.6 IPS |
|
|
Image Classification (HP)
|
100% |
5792
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7849
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3968
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8935
144.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11375
184.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11552
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10781
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
36456
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
3594
285.1 IPS |
|
|
Object Detection (HP)
|
100% |
5546
439.9 IPS |
|
|
Object Detection (Q)
|
88% |
9012
722.2 IPS |
|
|
Face Detection (SP)
|
100% |
8215
97.6 IPS |
|
|
Face Detection (HP)
|
100% |
16092
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
24909
296.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12230
94.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
21518
166.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
24808
192.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28732
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40177
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85929
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9089
335.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14504
537.1 IPS |
|
|
Text Classification (SP)
|
71% |
1404
2.03 KIPS |
|
|
Text Classification (HP)
|
71% |
2361
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2362
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2010
34.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3509
60.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3515
60.8 IPS |
