ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR
Geekbench AI Score
8277
Single Precision Score
12183
Half Precision Score
5461
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | rrevi |
| Upload Date | January 15 2026 04:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR |
| Motherboard | ASUSTeK COMPUTER INC. GU605CR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5119
951.9 IPS |
|
|
Image Classification (HP)
|
100% |
6162
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
3637
678.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6232
101.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11039
178.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4189
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21384
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
39853
46.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17266
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
5902
468.1 IPS |
|
|
Object Detection (HP)
|
100% |
7487
593.9 IPS |
|
|
Object Detection (Q)
|
84% |
4153
335.2 IPS |
|
|
Face Detection (SP)
|
100% |
8611
102.3 IPS |
|
|
Face Detection (HP)
|
100% |
14836
176.3 IPS |
|
|
Face Detection (Q)
|
97% |
6002
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19256
148.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30801
237.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13900
111.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54444
70.0 IPS |
|
|
Style Transfer (HP)
|
100% |
88260
113.5 IPS |
|
|
Style Transfer (Q)
|
98% |
41040
52.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9762
360.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17532
647.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6009
222.5 IPS |
|
|
Text Classification (SP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (Q)
|
97% |
945
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2677
46.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1111
20.8 IPS |
