ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI
Geekbench AI Score
19864
Single Precision Score
34026
Half Precision Score
14948
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Tbeachly |
| Upload Date | May 15 2025 08:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
8627
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
13856
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
7822
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14524
235.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20169
327.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13366
217.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
91884
107.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
284846
332.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
81000
94.9 IPS |
|
|
Object Detection (SP)
|
100% |
10016
794.5 IPS |
|
|
Object Detection (HP)
|
100% |
17776
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
8519
685.8 IPS |
|
|
Face Detection (SP)
|
100% |
23414
278.2 IPS |
|
|
Face Detection (HP)
|
100% |
40875
485.7 IPS |
|
|
Face Detection (Q)
|
97% |
19398
231.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
45956
354.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87413
673.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
32979
263.6 IPS |
|
|
Style Transfer (SP)
|
100% |
166529
214.1 IPS |
|
|
Style Transfer (HP)
|
100% |
419810
539.7 IPS |
|
|
Style Transfer (Q)
|
98% |
146381
188.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33906
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55962
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26012
963.2 IPS |
|
|
Text Classification (SP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1937
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4659
80.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1637
30.7 IPS |
