ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048
Geekbench AI Score
3869
Single Precision Score
1632
Half Precision Score
6994
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 05:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
3114
579.2 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.3 IPS |
|
|
Image Classification (Q)
|
99% |
6401
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7211
117.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6418
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4803
5.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
21874
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
86% |
4582
368.3 IPS |
|
|
Face Detection (SP)
|
100% |
8380
99.6 IPS |
|
|
Face Detection (HP)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
9041
107.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8690
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2510
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15182
121.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16693
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11936
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22073
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2704
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2335
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4375
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3177
63.8 IPS |
