ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP
Geekbench AI Score
8481
Single Precision Score
10035
Half Precision Score
15481
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 04:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP |
| Motherboard | ASUSTeK COMPUTER INC. G615LP |
| 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% |
5785
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
7292
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10259
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7932
128.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3990
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13178
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34421
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
75450
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
5511
437.1 IPS |
|
|
Object Detection (HP)
|
100% |
6185
490.6 IPS |
|
|
Object Detection (Q)
|
87% |
10188
817.7 IPS |
|
|
Face Detection (SP)
|
100% |
15785
187.6 IPS |
|
|
Face Detection (HP)
|
100% |
16550
196.6 IPS |
|
|
Face Detection (Q)
|
100% |
29161
346.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13931
107.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18616
143.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34315
267.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25997
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51924
66.7 IPS |
|
|
Style Transfer (Q)
|
98% |
95254
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7777
287.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14337
529.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26369
976.5 IPS |
|
|
Text Classification (SP)
|
100% |
4047
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2239
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4444
76.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4466
76.9 IPS |
