ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WV_FA608WV
Geekbench AI Score
16322
Single Precision Score
28097
Half Precision Score
12666
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 09:33 AM |
| Views | 3 |
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 | Performance |
| 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% |
6969
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
11736
2.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6456
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10994
178.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16496
267.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9850
160.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
82322
96.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
229971
268.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75404
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
8255
654.8 IPS |
|
|
Object Detection (HP)
|
100% |
15628
1.24 KIPS |
|
|
Object Detection (Q)
|
84% |
7314
589.9 IPS |
|
|
Face Detection (SP)
|
100% |
18597
221.0 IPS |
|
|
Face Detection (HP)
|
100% |
30588
363.5 IPS |
|
|
Face Detection (Q)
|
97% |
15833
188.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
35023
269.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75804
584.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
27424
219.4 IPS |
|
|
Style Transfer (SP)
|
100% |
131743
169.4 IPS |
|
|
Style Transfer (HP)
|
100% |
355674
457.2 IPS |
|
|
Style Transfer (Q)
|
98% |
119153
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27732
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39558
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20450
757.2 IPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3543
4.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1899
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1509
28.3 IPS |
