ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
3000
Single Precision Score
1387
Half Precision Score
4000
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 30 2024 05:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1868
347.4 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
99% |
3589
669.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2963
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6092
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3977
4.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
22854
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
2039
161.7 IPS |
|
|
Object Detection (HP)
|
100% |
642
51.0 IPS |
|
|
Object Detection (Q)
|
88% |
1930
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
3805
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6326
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1956
15.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7079
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13851
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9883
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17688
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2411
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1845
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3964
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.5 IPS |
|
|
Text Classification (Q)
|
97% |
538
720.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2201
49.1 IPS |
