LENOVO 83E1
Geekbench AI Score
3917
Single Precision Score
4095
Half Precision Score
12248
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 08:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2710
504.0 IPS |
|
|
Image Classification (HP)
|
100% |
2759
513.0 IPS |
|
|
Image Classification (Q)
|
100% |
8261
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6563
106.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5354
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5816
6.79 IPS |
|
|
Pose Estimation (Q)
|
98% |
24554
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (Q)
|
88% |
7689
616.4 IPS |
|
|
Face Detection (SP)
|
100% |
5074
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
4953
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
18545
220.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5939
45.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
6300
48.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
18920
149.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13289
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16745
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
62894
81.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3037
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12769
472.9 IPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (Q)
|
92% |
5120
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (Q)
|
85% |
5145
89.9 IPS |
