ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI
Geekbench AI Score
3328
Single Precision Score
1473
Half Precision Score
6830
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 12:18 AM |
| Views | 2 |
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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608WI_FA608WI |
| Motherboard | ASUSTeK COMPUTER INC. FA608WI |
| Power Plan | Balanced |
| 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% |
2539
472.2 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.7 IPS |
|
|
Image Classification (Q)
|
99% |
7090
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3276
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7965
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6128
7.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
29970
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
7413
595.8 IPS |
|
|
Face Detection (SP)
|
100% |
5481
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
10333
123.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7633
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2216
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8380
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15319
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14863
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32517
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3420
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
616
822.2 IPS |
|
|
Text Classification (Q)
|
97% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1837
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3258
65.5 IPS |
