ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI
Geekbench AI Score
20580
Single Precision Score
32700
Half Precision Score
15672
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | topgun966 |
| Upload Date | April 28 2025 04:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
8862
1.65 KIPS |
|
|
Image Classification (HP)
|
99% |
13632
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
7684
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15812
256.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21082
341.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13681
222.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
112675
131.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
304847
355.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
103066
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
10075
799.2 IPS |
|
|
Object Detection (HP)
|
100% |
16696
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
8618
693.8 IPS |
|
|
Face Detection (SP)
|
100% |
23585
280.2 IPS |
|
|
Face Detection (HP)
|
100% |
36642
435.4 IPS |
|
|
Face Detection (Q)
|
97% |
21447
255.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
49843
384.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
89665
690.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
38804
310.1 IPS |
|
|
Style Transfer (SP)
|
100% |
187670
241.3 IPS |
|
|
Style Transfer (HP)
|
100% |
453575
583.1 IPS |
|
|
Style Transfer (Q)
|
98% |
166269
214.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36018
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52090
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25980
962.0 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
2773
3.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1509
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4440
76.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1765
33.1 IPS |
