LENOVO 83E1
Geekbench AI Score
2188
Single Precision Score
668
Half Precision Score
3287
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 07:58 PM |
| Views | 8 |
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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (Q)
|
99% |
3479
648.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
984
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1883
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3828
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3298
3.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
17658
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
88% |
1466
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (Q)
|
97% |
3821
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4526
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
852
6.56 IPS |
|
|
Depth Estimation (Q)
|
76% |
7745
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9190
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8485
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18946
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2707
100.2 IPS |
|
|
Text Classification (SP)
|
100% |
1487
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
661
882.8 IPS |
|
|
Text Classification (Q)
|
97% |
385
515.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
60% |
1490
33.2 IPS |
