LENOVO 83N6
Geekbench AI Score
2690
Single Precision Score
1280
Half Precision Score
5695
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Pom2Ter |
| Upload Date | June 04 2025 12:32 AM |
| Views | 3 |
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 83N6 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1886
350.8 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
6491
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2898
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4207
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3873
4.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
18556
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
86% |
5852
470.3 IPS |
|
|
Face Detection (SP)
|
100% |
5208
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
8846
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5409
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1875
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7341
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12058
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11177
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22190
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1710
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2355
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
676
901.7 IPS |
|
|
Text Classification (Q)
|
97% |
1853
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2797
56.2 IPS |
