ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
18147
Single Precision Score
28614
Half Precision Score
14481
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| Power Plan | Turbo |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7304
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
11615
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
6756
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12065
195.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15201
246.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11019
179.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
103750
121.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
287889
335.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
93274
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
8722
691.8 IPS |
|
|
Object Detection (HP)
|
100% |
13684
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
7723
621.8 IPS |
|
|
Face Detection (SP)
|
100% |
21390
254.2 IPS |
|
|
Face Detection (HP)
|
100% |
31978
380.0 IPS |
|
|
Face Detection (Q)
|
97% |
19198
228.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43438
334.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
80859
623.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
35985
287.6 IPS |
|
|
Style Transfer (SP)
|
100% |
177326
228.0 IPS |
|
|
Style Transfer (HP)
|
100% |
400294
514.6 IPS |
|
|
Style Transfer (Q)
|
98% |
158652
204.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32952
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44061
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23796
881.1 IPS |
|
|
Text Classification (SP)
|
100% |
2726
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
3371
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1687
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3283
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3441
59.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1719
32.2 IPS |
