ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX
Geekbench AI Score
7211
Single Precision Score
7164
Half Precision Score
13280
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 10:03 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 | Silent |
| 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% |
5303
986.3 IPS |
|
|
Image Classification (HP)
|
100% |
5822
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
9708
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7073
114.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3813
61.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10821
175.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9401
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8457
9.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
20828
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
4110
326.0 IPS |
|
|
Object Detection (HP)
|
100% |
4769
378.3 IPS |
|
|
Object Detection (Q)
|
88% |
9242
740.8 IPS |
|
|
Face Detection (SP)
|
100% |
14313
170.1 IPS |
|
|
Face Detection (HP)
|
100% |
15125
179.7 IPS |
|
|
Face Detection (Q)
|
100% |
22492
267.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11140
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12441
95.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
23248
180.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24849
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22735
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
66712
86.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5174
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12097
448.0 IPS |
|
|
Text Classification (SP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5892
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5769
99.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3394
58.5 IPS |
