ASUSTeK COMPUTER INC. ROG Zephyrus M16 GU603ZX_GU603ZX
Geekbench AI Score
14953
Single Precision Score
23074
Half Precision Score
9477
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 04:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
| 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% |
5858
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
8650
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
3969
738.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10041
162.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13458
218.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7585
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
91761
107.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
227262
265.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
73444
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
7300
579.0 IPS |
|
|
Object Detection (HP)
|
100% |
11295
895.9 IPS |
|
|
Object Detection (Q)
|
85% |
5090
409.8 IPS |
|
|
Face Detection (SP)
|
100% |
18359
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
27919
331.7 IPS |
|
|
Face Detection (Q)
|
97% |
12483
148.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
35737
275.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63811
491.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
23564
188.4 IPS |
|
|
Style Transfer (SP)
|
100% |
159112
204.5 IPS |
|
|
Style Transfer (HP)
|
100% |
348810
448.4 IPS |
|
|
Style Transfer (Q)
|
98% |
115651
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23645
873.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28430
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13809
511.3 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3621
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1120
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2238
38.6 IPS |
|
|
Machine Translation (Q)
|
70% |
987
18.5 IPS |
