ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI
Geekbench AI Score
5167
Single Precision Score
5172
Half Precision Score
13560
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Tbeachly |
| Upload Date | May 15 2025 08:17 PM |
| Views | 9 |
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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI |
| Motherboard | ASUSTeK COMPUTER INC. FA608WI |
| Power Plan | Silent |
| 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% |
2739
509.3 IPS |
|
|
Image Classification (HP)
|
100% |
2732
508.0 IPS |
|
|
Image Classification (Q)
|
100% |
8346
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3663
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3693
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10594
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8171
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
8213
9.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
32382
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
2829
224.4 IPS |
|
|
Object Detection (HP)
|
100% |
2739
217.3 IPS |
|
|
Object Detection (Q)
|
88% |
8862
710.4 IPS |
|
|
Face Detection (SP)
|
100% |
8017
95.3 IPS |
|
|
Face Detection (HP)
|
100% |
8072
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
21366
253.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8503
65.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
21977
171.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21928
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21996
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
80044
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4035
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4002
147.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13029
482.5 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
3461
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4891
84.2 IPS |
