ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP
Geekbench AI Score
6837
Single Precision Score
2382
Half Precision Score
10673
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 04:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
5204
967.9 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.6 IPS |
|
|
Image Classification (Q)
|
99% |
9297
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13911
226.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15180
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7848
9.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
46132
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
4797
380.5 IPS |
|
|
Object Detection (HP)
|
100% |
1056
83.8 IPS |
|
|
Object Detection (Q)
|
86% |
10394
835.3 IPS |
|
|
Face Detection (SP)
|
100% |
14966
177.8 IPS |
|
|
Face Detection (HP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
13075
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15477
119.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3329
25.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
23684
189.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32671
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20222
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28893
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3058
112.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6014
222.7 IPS |
|
|
Text Classification (SP)
|
100% |
1802
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3936
79.1 IPS |
