ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WV_FA608WV
Geekbench AI Score
2811
Single Precision Score
1410
Half Precision Score
4721
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 02:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
1331
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
99% |
3527
657.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2859
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7107
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5662
6.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
27359
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
88% |
1736
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
5525
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6328
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2237
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5545
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14947
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14225
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30851
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2151
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3423
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.8 IPS |
|
|
Text Classification (Q)
|
97% |
1448
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1817
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
60% |
2454
54.7 IPS |
