ASUSTeK COMPUTER INC. ROG Zephyrus M16 GU603ZX_GU603ZX
Geekbench AI Score
3898
Single Precision Score
1486
Half Precision Score
5405
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 04:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus M16 GU603ZX_GU603ZX |
| Motherboard | ASUSTeK COMPUTER INC. GU603ZX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2989
555.9 IPS |
|
|
Image Classification (HP)
|
100% |
548
102.0 IPS |
|
|
Image Classification (Q)
|
99% |
5237
976.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
891
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2687
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6353
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4009
4.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
20612
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2888
229.1 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
86% |
5019
403.4 IPS |
|
|
Face Detection (SP)
|
100% |
7453
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
8482
101.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8217
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2013
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14014
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14963
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9958
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23244
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2731
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1911
70.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3998
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.9 IPS |
|
|
Text Classification (Q)
|
97% |
495
662.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2157
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2678
53.8 IPS |
