ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX
Geekbench AI Score
5091
Single Precision Score
2016
Half Precision Score
8606
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jskim0912 |
| Upload Date | June 14 2025 11:12 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX |
| Motherboard | ASUSTeK COMPUTER INC. GU605CX |
| Power Plan | Turbo |
| 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% |
3840
714.1 IPS |
|
|
Image Classification (HP)
|
100% |
699
129.9 IPS |
|
|
Image Classification (Q)
|
99% |
9241
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3847
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9140
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6288
7.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
30368
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3588
284.6 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
8849
711.2 IPS |
|
|
Face Detection (SP)
|
100% |
10014
119.0 IPS |
|
|
Face Detection (HP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
11370
135.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9695
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2974
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17209
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20360
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14500
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25050
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2793
103.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5352
198.2 IPS |
|
|
Text Classification (SP)
|
100% |
1963
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2687
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4758
95.6 IPS |
