ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP
Geekbench AI Score
5353
Single Precision Score
2176
Half Precision Score
9469
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 04:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 G615LP_G615LP |
| Motherboard | ASUSTeK COMPUTER INC. G615LP |
| Power Plan | Performance |
| 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% |
4165
774.6 IPS |
|
|
Image Classification (HP)
|
100% |
632
117.5 IPS |
|
|
Image Classification (Q)
|
99% |
8237
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13733
223.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14753
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7645
8.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
44604
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
3517
279.0 IPS |
|
|
Object Detection (HP)
|
100% |
941
74.7 IPS |
|
|
Object Detection (Q)
|
86% |
10827
870.1 IPS |
|
|
Face Detection (SP)
|
100% |
9880
117.4 IPS |
|
|
Face Detection (HP)
|
100% |
2065
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
11352
135.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13968
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3196
24.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18896
150.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30216
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18319
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22812
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4956
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3339
123.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5572
206.3 IPS |
|
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1199
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3248
65.3 IPS |
