ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WV_FA608WV
Geekbench AI Score
5101
Single Precision Score
5136
Half Precision Score
13070
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 03:35 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 (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% |
2690
500.3 IPS |
|
|
Image Classification (HP)
|
100% |
2763
513.8 IPS |
|
|
Image Classification (Q)
|
100% |
8264
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3655
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3840
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10199
165.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7854
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
7868
9.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
30748
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
2992
237.4 IPS |
|
|
Object Detection (HP)
|
100% |
2831
224.6 IPS |
|
|
Object Detection (Q)
|
88% |
7836
628.2 IPS |
|
|
Face Detection (SP)
|
100% |
7543
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
8167
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
20592
244.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8187
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8162
62.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
20825
162.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21036
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20877
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75921
97.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4096
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4102
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13152
487.1 IPS |
|
|
Text Classification (SP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
3501
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3852
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4779
82.3 IPS |
