LENOVO 83D3
Geekbench AI Score
2474
Single Precision Score
1306
Half Precision Score
3493
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 12:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83D3 |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
99% |
3910
729.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2209
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4256
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3682
4.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
18833
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
88% |
1673
134.1 IPS |
|
|
Face Detection (SP)
|
100% |
2539
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
4333
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5284
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2021
15.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4848
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10457
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9743
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21680
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2902
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.6 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1877
41.9 IPS |
