LENOVO 83E1
Geekbench AI Score
1241
Single Precision Score
1179
Half Precision Score
3409
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dr3d |
| Upload Date | December 26 2024 01:10 AM |
| Views | 1 |
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% |
932
173.4 IPS |
|
|
Image Classification (HP)
|
100% |
1014
188.7 IPS |
|
|
Image Classification (Q)
|
100% |
2387
443.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
1450
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1500
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1303
1.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
5001
5.85 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (HP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
88% |
2128
170.6 IPS |
|
|
Face Detection (SP)
|
100% |
2095
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2051
24.4 IPS |
|
|
Face Detection (Q)
|
100% |
6145
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1993
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1780
13.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
4787
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3855
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3476
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
13819
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3120
115.5 IPS |
|
|
Text Classification (SP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (Q)
|
92% |
2121
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2140
36.9 IPS |
