LENOVO 83E1
Geekbench AI Score
1953
Single Precision Score
952
Half Precision Score
4960
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tony84 |
| Upload Date | June 17 2025 05:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Z1 Extreme |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
1706
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.0 IPS |
|
|
Image Classification (Q)
|
99% |
5478
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2926
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1343
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1068
1.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
8060
9.45 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
86% |
5567
447.4 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
8058
96.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3633
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1796
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6170
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4317
5.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3012
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
19805
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2834
104.9 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.2 IPS |
|
|
Text Classification (Q)
|
97% |
1685
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2665
53.5 IPS |
