ASUSTeK COMPUTER INC. ROG Zephyrus M16 GU603ZM_GU603ZM
Geekbench AI Score
3358
Single Precision Score
1306
Half Precision Score
5990
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 05:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus M16 GU603ZM_GU603ZM |
| Motherboard | ASUSTeK COMPUTER INC. GU603ZM |
| Power Plan | Dengeli |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2535
471.4 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
5208
971.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2989
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5541
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3427
4.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
19324
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.8 IPS |
|
|
Object Detection (Q)
|
86% |
5310
426.8 IPS |
|
|
Face Detection (SP)
|
100% |
6112
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
1429
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
8356
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6992
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1744
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12643
100.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12502
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8346
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18814
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4021
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.7 IPS |
|
|
Text Classification (Q)
|
97% |
1628
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2863
57.5 IPS |
