ASUSTeK COMPUTER INC. ROG Strix G16 G615LW_G615LW
Geekbench AI Score
27105
Single Precision Score
46288
Half Precision Score
21340
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 07:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| 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% |
11211
2.08 KIPS |
|
|
Image Classification (HP)
|
100% |
17901
3.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10088
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19867
322.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28052
454.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17933
291.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
151255
176.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
406390
474.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
133757
156.7 IPS |
|
|
Object Detection (SP)
|
100% |
13879
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
23628
1.87 KIPS |
|
|
Object Detection (Q)
|
86% |
11724
942.0 IPS |
|
|
Face Detection (SP)
|
100% |
39016
463.6 IPS |
|
|
Face Detection (HP)
|
100% |
55367
657.9 IPS |
|
|
Face Detection (Q)
|
97% |
33645
401.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
67408
519.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
122782
946.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
53698
429.0 IPS |
|
|
Style Transfer (SP)
|
100% |
248841
319.9 IPS |
|
|
Style Transfer (HP)
|
100% |
821565
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
213947
275.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39206
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68015
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30346
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4334
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5484
94.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5688
98.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2772
52.0 IPS |
