ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI
Geekbench AI Score
4525
Single Precision Score
4745
Half Precision Score
11785
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | topgun966 |
| Upload Date | April 28 2025 04:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI |
| Motherboard | ASUSTeK COMPUTER INC. FA608WI |
| 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% |
2675
497.5 IPS |
|
|
Image Classification (HP)
|
100% |
2661
494.8 IPS |
|
|
Image Classification (Q)
|
100% |
8776
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6453
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7521
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
7648
8.92 IPS |
|
|
Pose Estimation (Q)
|
98% |
29366
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
2717
215.5 IPS |
|
|
Object Detection (HP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (Q)
|
88% |
7416
594.5 IPS |
|
|
Face Detection (SP)
|
100% |
5036
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
7530
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
18330
217.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7757
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8185
63.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
20986
163.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19965
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20389
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
73172
94.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3946
145.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13043
483.0 IPS |
|
|
Text Classification (SP)
|
100% |
2565
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
3271
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3492
60.2 IPS |
