LENOVO 83DH
Geekbench AI Score
2775
Single Precision Score
1341
Half Precision Score
6225
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | konra |
| Upload Date | September 13 2025 07:00 AM |
| Views | 6 |
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% |
3011
559.9 IPS |
|
|
Image Classification (HP)
|
100% |
641
119.3 IPS |
|
|
Image Classification (Q)
|
99% |
7342
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9111
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5876
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3702
4.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
17620
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.3 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (Q)
|
86% |
5718
459.5 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
7183
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5533
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2067
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8956
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9986
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9186
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14789
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5167
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1404
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
1881
37.8 IPS |
