ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406HA_UM3406HA
Geekbench AI Score
4609
Single Precision Score
4582
Half Precision Score
13416
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 10:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UM3406HA_UM3406HA |
| Motherboard | ASUSTeK COMPUTER INC. UM3406HA |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
100% |
9006
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7840
127.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
6670
7.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
25783
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
2530
200.7 IPS |
|
|
Object Detection (Q)
|
88% |
9302
745.6 IPS |
|
|
Face Detection (SP)
|
100% |
5910
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
5924
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
20834
247.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7982
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6742
51.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
22942
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17858
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17491
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
63752
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3936
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13488
499.5 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (Q)
|
92% |
5159
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4012
69.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5264
90.7 IPS |
