LENOVO 83E1
Geekbench AI Score
2785
Single Precision Score
1321
Half Precision Score
5599
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tobihille |
| Upload Date | January 10 2025 09:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Ausbalanciert |
| 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% |
2411
448.5 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.3 IPS |
|
|
Image Classification (Q)
|
99% |
6849
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3047
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4467
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3753
4.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
19156
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2107
167.1 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
86% |
6076
488.3 IPS |
|
|
Face Detection (SP)
|
100% |
4063
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
8571
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5958
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2072
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6411
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10357
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9426
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20910
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2818
104.4 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.1 IPS |
|
|
Text Classification (Q)
|
97% |
1668
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
65% |
2308
46.4 IPS |
