ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WV_FA608WV
Geekbench AI Score
16450
Single Precision Score
27695
Half Precision Score
12648
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 02:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WV_FA608WV |
| Motherboard | ASUSTeK COMPUTER INC. FA608WV |
| Power Plan | Turbo |
| 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% |
6625
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
11237
2.10 KIPS |
|
|
Image Classification (Q)
|
100% |
5973
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11670
189.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15604
253.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10882
177.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
90498
105.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
234551
273.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
79897
93.6 IPS |
|
|
Object Detection (SP)
|
100% |
7692
610.1 IPS |
|
|
Object Detection (HP)
|
100% |
14216
1.13 KIPS |
|
|
Object Detection (Q)
|
89% |
6470
517.9 IPS |
|
|
Face Detection (SP)
|
100% |
16978
201.7 IPS |
|
|
Face Detection (HP)
|
100% |
28010
332.8 IPS |
|
|
Face Detection (Q)
|
97% |
14357
171.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
35994
277.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
73019
562.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
29508
237.1 IPS |
|
|
Style Transfer (SP)
|
100% |
142233
182.8 IPS |
|
|
Style Transfer (HP)
|
100% |
358022
460.2 IPS |
|
|
Style Transfer (Q)
|
98% |
127767
164.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27640
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43652
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20328
752.7 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3433
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1934
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4139
71.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1466
32.7 IPS |
