ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
17714
Single Precision Score
26404
Half Precision Score
14411
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AREPO |
| Upload Date | March 08 2025 05:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| Power Plan | High performance |
| 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% |
7205
1.34 KIPS |
|
|
Image Classification (HP)
|
99% |
10311
1.92 KIPS |
|
|
Image Classification (Q)
|
100% |
6696
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11008
178.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13341
216.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10256
166.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
115396
134.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
293497
342.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
102244
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
8286
657.3 IPS |
|
|
Object Detection (HP)
|
100% |
12333
978.3 IPS |
|
|
Object Detection (Q)
|
85% |
7447
599.5 IPS |
|
|
Face Detection (SP)
|
100% |
20204
240.1 IPS |
|
|
Face Detection (HP)
|
100% |
28148
334.5 IPS |
|
|
Face Detection (Q)
|
97% |
18163
216.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
48667
374.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
80380
619.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
39066
312.2 IPS |
|
|
Style Transfer (SP)
|
100% |
179653
230.9 IPS |
|
|
Style Transfer (HP)
|
100% |
400082
514.3 IPS |
|
|
Style Transfer (Q)
|
98% |
163927
211.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31382
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42217
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23376
865.6 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
2773
3.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1656
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2973
51.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3122
53.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1641
30.8 IPS |
