ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY
Geekbench AI Score
22486
Single Precision Score
33742
Half Precision Score
17513
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | October 25 2024 10:28 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY |
| Motherboard | ASUSTeK COMPUTER INC. GU605MY |
| Power Plan | Balanced |
| 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% |
8482
1.58 KIPS |
|
|
Image Classification (HP)
|
99% |
12269
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
7624
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14333
232.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17631
285.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13420
218.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
147014
171.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
367926
429.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
130927
153.3 IPS |
|
|
Object Detection (SP)
|
100% |
10798
856.5 IPS |
|
|
Object Detection (HP)
|
100% |
14449
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
9163
733.5 IPS |
|
|
Face Detection (SP)
|
100% |
29595
351.7 IPS |
|
|
Face Detection (HP)
|
100% |
37001
439.6 IPS |
|
|
Face Detection (Q)
|
97% |
25607
305.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53354
411.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106618
823.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
44016
354.6 IPS |
|
|
Style Transfer (SP)
|
100% |
274854
353.3 IPS |
|
|
Style Transfer (HP)
|
100% |
635528
817.0 IPS |
|
|
Style Transfer (Q)
|
98% |
245538
316.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37643
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51513
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28189
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3582
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1677
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1691
37.7 IPS |
