ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
3557
Single Precision Score
8781
Half Precision Score
13032
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | May 09 2025 02:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
6117
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
7748
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2729
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3729
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5761
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
33438
39.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
71724
84.0 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
5663
449.2 IPS |
|
|
Object Detection (Q)
|
87% |
8825
708.3 IPS |
|
|
Face Detection (SP)
|
100% |
5619
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
15641
185.9 IPS |
|
|
Face Detection (Q)
|
100% |
24825
295.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5378
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18713
144.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34848
271.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16062
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51108
65.7 IPS |
|
|
Style Transfer (Q)
|
98% |
97122
125.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2615
96.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12973
479.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20060
742.9 IPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
1268
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2226
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3616
62.3 IPS |
