ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP
Geekbench AI Score
6843
Single Precision Score
2379
Half Precision Score
10791
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 04:52 AM |
| Views | 3 |
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% |
5441
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
99% |
9452
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15801
256.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15326
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7806
9.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
46081
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
4962
393.6 IPS |
|
|
Object Detection (HP)
|
100% |
1100
87.2 IPS |
|
|
Object Detection (Q)
|
86% |
10600
851.9 IPS |
|
|
Face Detection (SP)
|
100% |
14732
175.1 IPS |
|
|
Face Detection (HP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
13337
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16384
126.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3365
25.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
23344
186.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31900
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19232
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29908
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4802
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3423
126.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5705
211.2 IPS |
|
|
Text Classification (SP)
|
100% |
1718
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1414
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2895
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3909
78.5 IPS |
