LENOVO 83N6
Geekbench AI Score
8028
Single Precision Score
10785
Half Precision Score
6164
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Pom2Ter |
| Upload Date | June 04 2025 12:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Graphics |
| 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% |
3399
632.1 IPS |
|
|
Image Classification (HP)
|
100% |
4572
850.2 IPS |
|
|
Image Classification (Q)
|
100% |
3046
566.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4385
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4738
76.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3570
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39133
45.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
63966
74.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30738
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
2815
223.3 IPS |
|
|
Object Detection (HP)
|
100% |
3664
290.6 IPS |
|
|
Object Detection (Q)
|
87% |
2677
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
6849
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
11204
133.1 IPS |
|
|
Face Detection (Q)
|
97% |
5642
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17439
134.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25127
193.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
14074
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66657
85.7 IPS |
|
|
Style Transfer (HP)
|
100% |
105324
135.4 IPS |
|
|
Style Transfer (Q)
|
98% |
49007
63.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12130
447.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17604
650.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8999
333.2 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3301
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1624
30.5 IPS |
