ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI
Geekbench AI Score
2699
Single Precision Score
1216
Half Precision Score
4972
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 10:29 AM |
| Views | 4 |
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 FA608WI_FA608WI |
| Motherboard | ASUSTeK COMPUTER INC. FA608WI |
| Power Plan | Performance |
| 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% |
2254
419.2 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
99% |
5233
976.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5051
5.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4792
5.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
25922
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
86% |
5569
447.6 IPS |
|
|
Face Detection (SP)
|
100% |
4768
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
8720
104.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6786
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2115
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7798
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13431
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13167
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24449
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2254
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
499
665.9 IPS |
|
|
Text Classification (Q)
|
97% |
589
788.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (Q)
|
65% |
2384
47.9 IPS |
