ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048
Geekbench AI Score
13127
Single Precision Score
25404
Half Precision Score
9648
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 05:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048 |
| Motherboard | ASUSTeK COMPUTER INC. GU605CX |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4797
892.0 IPS |
|
|
Image Classification (HP)
|
100% |
7665
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
5264
978.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11396
184.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18753
304.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9751
158.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
76172
88.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
250123
291.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
64084
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
6506
516.0 IPS |
|
|
Object Detection (HP)
|
100% |
12471
989.2 IPS |
|
|
Object Detection (Q)
|
86% |
4727
379.7 IPS |
|
|
Face Detection (SP)
|
100% |
21759
258.5 IPS |
|
|
Face Detection (HP)
|
100% |
32284
383.6 IPS |
|
|
Face Detection (Q)
|
97% |
13531
161.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23272
179.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58706
452.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
21043
168.0 IPS |
|
|
Style Transfer (SP)
|
100% |
106065
136.3 IPS |
|
|
Style Transfer (HP)
|
100% |
416104
534.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96258
124.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18938
699.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47076
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11315
419.0 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1586
2.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1076
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3980
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1347
25.3 IPS |
