ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench AI Score
8814
Single Precision Score
12969
Half Precision Score
6385
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 24 2024 09:43 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI |
| Motherboard | ASUSTeK COMPUTER INC. GA605WI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3289
611.6 IPS |
|
|
Image Classification (HP)
|
100% |
4571
850.1 IPS |
|
|
Image Classification (Q)
|
100% |
2729
507.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4645
75.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6135
99.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3738
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
48876
57.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
83744
97.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
35667
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
4321
342.7 IPS |
|
|
Object Detection (Q)
|
89% |
2442
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
6375
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
10808
128.4 IPS |
|
|
Face Detection (Q)
|
97% |
5188
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20829
160.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
31443
242.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
14113
115.2 IPS |
|
|
Style Transfer (SP)
|
100% |
84667
108.8 IPS |
|
|
Style Transfer (HP)
|
100% |
134657
173.1 IPS |
|
|
Style Transfer (Q)
|
98% |
58348
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13556
500.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23033
850.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9412
348.5 IPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1956
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1613
36.0 IPS |
