ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
21695
Single Precision Score
38332
Half Precision Score
17377
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | April 09 2026 03:23 PM |
| Views | 4 |
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 Zephyrus G16 GU605CW_GU605CW |
| Motherboard | ASUSTeK COMPUTER INC. GU605CW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8809
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
15105
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
8020
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16245
263.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23606
382.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14855
241.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
115729
135.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
324609
378.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
103093
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
11080
878.8 IPS |
|
|
Object Detection (HP)
|
100% |
18606
1.48 KIPS |
|
|
Object Detection (Q)
|
86% |
9470
760.9 IPS |
|
|
Face Detection (SP)
|
100% |
32325
384.1 IPS |
|
|
Face Detection (HP)
|
100% |
47184
560.6 IPS |
|
|
Face Detection (Q)
|
97% |
27988
333.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
49936
384.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
107049
824.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
42154
336.7 IPS |
|
|
Style Transfer (SP)
|
100% |
180133
231.6 IPS |
|
|
Style Transfer (HP)
|
100% |
604278
776.8 IPS |
|
|
Style Transfer (Q)
|
98% |
160201
206.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30294
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54106
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24570
909.8 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1851
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4756
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4895
84.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2511
47.1 IPS |
