LENOVO 21A4
Geekbench AI Score
2384
Single Precision Score
3275
Half Precision Score
1811
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | purity |
| Upload Date | August 24 2024 05:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21A4 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
810
150.6 IPS |
|
|
Image Classification (HP)
|
100% |
978
181.8 IPS |
|
|
Image Classification (Q)
|
99% |
757
141.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1007
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9654
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17841
20.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
8175
9.57 IPS |
|
|
Object Detection (SP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (HP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (Q)
|
89% |
923
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
2065
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
1669
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5401
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7751
59.7 IPS |
|
|
Depth Estimation (Q)
|
72% |
4063
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17752
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28741
36.9 IPS |
|
|
Style Transfer (Q)
|
98% |
13954
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3350
123.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5439
200.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2370
87.7 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
564
756.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
60% |
522
11.8 IPS |
