ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
8356
Single Precision Score
8673
Half Precision Score
15694
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 01:08 AM |
| Views | 2 |
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 16 G635LX_G635LX |
| Motherboard | ASUSTeK COMPUTER INC. G635LX |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5465
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
6135
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
10302
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7444
120.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4219
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12769
207.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12333
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12462
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
29080
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
5206
413.0 IPS |
|
|
Object Detection (HP)
|
100% |
6170
489.4 IPS |
|
|
Object Detection (Q)
|
88% |
10517
843.1 IPS |
|
|
Face Detection (SP)
|
100% |
15222
180.9 IPS |
|
|
Face Detection (HP)
|
100% |
18714
222.4 IPS |
|
|
Face Detection (Q)
|
100% |
27696
329.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13519
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15565
119.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29864
232.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29523
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26930
34.6 IPS |
|
|
Style Transfer (Q)
|
98% |
79502
102.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7235
267.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7593
280.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16681
617.8 IPS |
|
|
Text Classification (SP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (Q)
|
92% |
5942
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6712
115.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3457
59.5 IPS |
