ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
10666
Single Precision Score
23826
Half Precision Score
30085
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | April 28 2025 09:15 PM |
| Views | 2 |
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(R) Core(TM) 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% |
7138
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
12650
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
16829
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8364
135.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21254
344.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25818
418.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26356
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
104000
121.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
190116
222.6 IPS |
|
|
Object Detection (SP)
|
100% |
6696
531.1 IPS |
|
|
Object Detection (HP)
|
100% |
14010
1.11 KIPS |
|
|
Object Detection (Q)
|
88% |
17741
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
12465
148.1 IPS |
|
|
Face Detection (HP)
|
100% |
25766
306.2 IPS |
|
|
Face Detection (Q)
|
100% |
34232
406.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23061
177.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50637
390.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
66629
517.9 IPS |
|
|
Style Transfer (SP)
|
100% |
63650
81.8 IPS |
|
|
Style Transfer (HP)
|
100% |
168812
217.0 IPS |
|
|
Style Transfer (Q)
|
98% |
282036
363.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10609
391.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31543
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37615
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
92% |
3246
4.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5163
88.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5279
90.9 IPS |
