ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY
Geekbench AI Score
21166
Single Precision Score
30894
Half Precision Score
16289
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MattKir |
| Upload Date | November 19 2024 08:56 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY |
| Motherboard | ASUSTeK COMPUTER INC. GU605MY |
| Power Plan | Turbo |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7956
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
11189
2.09 KIPS |
|
|
Image Classification (Q)
|
100% |
6999
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13705
222.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16837
272.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12570
204.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
153460
179.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
339325
395.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
124770
146.1 IPS |
|
|
Object Detection (SP)
|
100% |
10267
814.4 IPS |
|
|
Object Detection (HP)
|
100% |
13790
1.09 KIPS |
|
|
Object Detection (Q)
|
89% |
8598
688.3 IPS |
|
|
Face Detection (SP)
|
100% |
27933
331.9 IPS |
|
|
Face Detection (HP)
|
100% |
34866
414.3 IPS |
|
|
Face Detection (Q)
|
97% |
24018
286.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
52351
403.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95447
737.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
41114
331.2 IPS |
|
|
Style Transfer (SP)
|
100% |
247151
317.7 IPS |
|
|
Style Transfer (HP)
|
100% |
571896
735.2 IPS |
|
|
Style Transfer (Q)
|
98% |
225717
291.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34937
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45829
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27196
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
3179
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1503
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1530
34.1 IPS |
