ASUS ROG Zephyrus G16 ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX
Geekbench AI Score
7936
Single Precision Score
11530
Half Precision Score
5278
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | April 17 2025 11:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
4897
910.7 IPS |
|
|
Image Classification (HP)
|
100% |
5989
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
3636
678.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5758
93.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9877
160.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3864
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20905
24.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39405
46.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17613
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
5549
440.2 IPS |
|
|
Object Detection (HP)
|
100% |
7150
567.1 IPS |
|
|
Object Detection (Q)
|
84% |
3643
294.1 IPS |
|
|
Face Detection (SP)
|
100% |
8609
102.3 IPS |
|
|
Face Detection (HP)
|
100% |
13531
160.8 IPS |
|
|
Face Detection (Q)
|
97% |
5704
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17318
133.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28647
220.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12962
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53827
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
85070
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42232
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9730
359.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16031
591.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5830
215.9 IPS |
|
|
Text Classification (SP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1768
2.36 KIPS |
|
|
Text Classification (Q)
|
97% |
913
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2666
45.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1121
21.0 IPS |
