ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
10259
Single Precision Score
23260
Half Precision Score
29529
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | March 17 2026 03:12 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW |
| Motherboard | ASUSTeK COMPUTER INC. GU605CW |
| Power Plan | Performance |
| 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% |
6980
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
12435
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
16584
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8314
134.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20560
333.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24855
402.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
25199
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
95608
111.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
188230
220.4 IPS |
|
|
Object Detection (SP)
|
100% |
6804
539.7 IPS |
|
|
Object Detection (HP)
|
100% |
14106
1.12 KIPS |
|
|
Object Detection (Q)
|
88% |
17247
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
10163
120.8 IPS |
|
|
Face Detection (HP)
|
100% |
24002
285.2 IPS |
|
|
Face Detection (Q)
|
100% |
32300
383.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19745
152.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48109
370.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
63417
493.0 IPS |
|
|
Style Transfer (SP)
|
100% |
62132
79.9 IPS |
|
|
Style Transfer (HP)
|
100% |
170781
219.5 IPS |
|
|
Style Transfer (Q)
|
98% |
278098
358.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10482
387.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31263
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38422
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3369
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5109
88.0 IPS |
