LENOVO 83DH
Geekbench AI Score
3797
Single Precision Score
1683
Half Precision Score
7490
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | konra |
| Upload Date | September 13 2025 07:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DH |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3242
602.8 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (Q)
|
99% |
7812
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9307
151.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6671
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
5881
6.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
21519
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2848
225.9 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
7798
626.7 IPS |
|
|
Face Detection (SP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
8796
104.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8661
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2484
19.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7243
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16116
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14228
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18147
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6723
249.0 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1817
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3228
64.9 IPS |
