LENOVO 83E1
Geekbench AI Score
3435
Single Precision Score
1538
Half Precision Score
7223
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 03:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Z1 Extreme |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83E1 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z1 Extreme |
| Topology | 1 Processor, 8 Cores |
| 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% |
3050
567.2 IPS |
|
|
Image Classification (HP)
|
100% |
656
122.0 IPS |
|
|
Image Classification (Q)
|
99% |
7310
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8807
143.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6016
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4119
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
21721
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2604
206.6 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (Q)
|
86% |
6837
549.5 IPS |
|
|
Face Detection (SP)
|
100% |
4921
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
8912
106.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7902
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2368
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6266
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14290
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11730
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23487
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2143
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5967
221.0 IPS |
|
|
Text Classification (SP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1747
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2960
59.5 IPS |
