ASUSTeK COMPUTER INC. ASUS TUF Gaming A17 FA706IU_FA706IU
Geekbench AI Score
2110
Single Precision Score
1029
Half Precision Score
2309
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 09:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 4900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A17 FA706IU_FA706IU |
| Motherboard | ASUSTeK COMPUTER INC. FA706IU |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 4900H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1634
303.8 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
96% |
2224
415.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
1124
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3440
4.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
5795
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
58% |
1488
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
4591
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5620
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1608
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
5684
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9006
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7936
10.2 IPS |
|
|
Style Transfer (Q)
|
87% |
9505
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1810
67.1 IPS |
|
|
Text Classification (SP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.6 IPS |
|
|
Text Classification (Q)
|
97% |
338
452.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
68% |
1319
25.5 IPS |
