LENOVO 83E1
Geekbench AI Score
4350
Single Precision Score
4514
Half Precision Score
12967
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | VTPhantos |
| Upload Date | October 22 2024 11:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Z1 Extreme |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83E1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z1 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 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% |
3190
593.3 IPS |
|
|
Image Classification (HP)
|
100% |
3259
606.1 IPS |
|
|
Image Classification (Q)
|
100% |
8845
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7142
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6039
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
5878
6.86 IPS |
|
|
Pose Estimation (Q)
|
98% |
25680
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (HP)
|
100% |
2545
201.9 IPS |
|
|
Object Detection (Q)
|
88% |
8294
664.8 IPS |
|
|
Face Detection (SP)
|
100% |
5629
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
5802
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
21405
254.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7508
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8019
61.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
18616
144.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14566
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16841
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
68132
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3552
131.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13362
494.8 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
92% |
5103
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3994
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5400
93.0 IPS |
