ASUSTeK COMPUTER INC. ROG Strix G16 G615LW_G615LW
Geekbench AI Score
8360
Single Precision Score
8332
Half Precision Score
15215
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:09 PM |
| Views | 1 |
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 G16 G615LW_G615LW |
| Motherboard | ASUSTeK COMPUTER INC. G615LW |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5636
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
5091
946.8 IPS |
|
|
Image Classification (Q)
|
100% |
10415
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8197
132.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4107
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11238
182.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13955
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13374
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
28341
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
5432
430.8 IPS |
|
|
Object Detection (HP)
|
100% |
6878
545.5 IPS |
|
|
Object Detection (Q)
|
88% |
10845
869.3 IPS |
|
|
Face Detection (SP)
|
100% |
13849
164.6 IPS |
|
|
Face Detection (HP)
|
100% |
17743
210.8 IPS |
|
|
Face Detection (Q)
|
100% |
26505
314.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11141
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14211
109.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
28501
221.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28682
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27843
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
78278
100.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8083
298.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7508
277.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15293
566.4 IPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5842
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6082
104.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3500
60.3 IPS |
