LENOVO 83N6
Geekbench AI Score
2445
Single Precision Score
1156
Half Precision Score
5073
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Pom2Ter |
| Upload Date | June 04 2025 12:28 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% |
1907
354.6 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.4 IPS |
|
|
Image Classification (Q)
|
99% |
6461
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2885
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3770
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3184
3.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
14805
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1874
148.7 IPS |
|
|
Object Detection (HP)
|
100% |
506
40.2 IPS |
|
|
Object Detection (Q)
|
86% |
5128
412.1 IPS |
|
|
Face Detection (SP)
|
100% |
4260
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
1199
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
8068
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5132
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1757
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6322
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9248
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8281
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19848
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2304
85.3 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
588
784.8 IPS |
|
|
Text Classification (Q)
|
97% |
1546
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.88 IPS |
|
|
Machine Translation (Q)
|
65% |
2215
44.5 IPS |
