ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401UU_FA401UU
Geekbench AI Score
5643
Single Precision Score
5589
Half Precision Score
16049
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 05:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401UU_FA401UU |
| Motherboard | ASUSTeK COMPUTER INC. FA401UU |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4109
764.1 IPS |
|
|
Image Classification (HP)
|
100% |
3723
692.4 IPS |
|
|
Image Classification (Q)
|
100% |
10442
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8883
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8095
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
8084
9.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
32345
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3526
279.7 IPS |
|
|
Object Detection (HP)
|
100% |
3540
280.8 IPS |
|
|
Object Detection (Q)
|
88% |
10635
852.5 IPS |
|
|
Face Detection (SP)
|
100% |
6602
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
6644
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
26601
316.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10158
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10249
79.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
27355
212.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21667
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21749
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85134
109.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4800
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4647
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16630
615.9 IPS |
|
|
Text Classification (SP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5670
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4832
83.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6085
104.8 IPS |
