ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WV_FA608WV
Geekbench AI Score
3293
Single Precision Score
1406
Half Precision Score
6471
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 03:32 AM |
| 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 Pro (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% |
2504
465.6 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (Q)
|
99% |
6515
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
906
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
2337
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7118
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5650
6.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
27737
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
86% |
7454
599.1 IPS |
|
|
Face Detection (SP)
|
100% |
5619
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
10342
123.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7411
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2253
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8586
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15152
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14165
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32321
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2124
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3120
115.5 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
617
823.9 IPS |
|
|
Text Classification (Q)
|
97% |
1459
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2023
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3131
62.9 IPS |
