ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR
Geekbench AI Score
2125
Single Precision Score
910
Half Precision Score
9327
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | rrevi |
| Upload Date | January 16 2026 01:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR |
| Motherboard | ASUSTeK COMPUTER INC. GU605CR |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
978
181.8 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.4 IPS |
|
|
Image Classification (Q)
|
97% |
7480
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
417
6.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
4684
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2326
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3331
3.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
28054
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
86% |
6872
552.3 IPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.86 IPS |
|
|
Face Detection (Q)
|
97% |
20726
247.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3401
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1329
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17185
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6775
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
8389
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34458
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6331
234.4 IPS |
|
|
Text Classification (SP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.3 IPS |
|
|
Text Classification (Q)
|
97% |
1778
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5340
107.3 IPS |
