LENOVO 83N0
Geekbench AI Score
2606
Single Precision Score
1420
Half Precision Score
6425
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 06:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Z2 Extreme |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83N0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z2 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (Q)
|
99% |
5429
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
737
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7194
117.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4272
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3741
4.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
18306
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2018
160.1 IPS |
|
|
Object Detection (HP)
|
100% |
680
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
5398
433.8 IPS |
|
|
Face Detection (SP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
1457
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
8059
96.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5539
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2155
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12885
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10393
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9566
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25238
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3674
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.0 IPS |
|
|
Text Classification (Q)
|
97% |
1499
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2155
43.3 IPS |
