LENOVO 83DX
Geekbench AI Score
3080
Single Precision Score
1475
Half Precision Score
7263
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (Q)
|
99% |
7110
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8623
140.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4775
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4025
4.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
20747
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
86% |
6251
502.4 IPS |
|
|
Face Detection (SP)
|
100% |
4878
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
9306
111.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6511
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2267
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7263
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11399
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10737
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25552
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6056
224.2 IPS |
|
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1659
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2962
59.5 IPS |
