LENOVO 83E3
Geekbench AI Score
2044
Single Precision Score
952
Half Precision Score
3382
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tpunk |
| Upload Date | February 22 2025 07:56 PM |
| Views | 1 |
| Notes | Yoga Pro 7 14AHP9 GTX3060 |
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 83E3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| 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% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
99% |
4659
868.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1529
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3105
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2760
3.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
12918
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
86% |
3262
262.1 IPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
6139
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4064
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1430
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
4857
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7768
9.99 IPS |
|
|
Style Transfer (HP)
|
100% |
7140
9.18 IPS |
|
|
Style Transfer (Q)
|
98% |
17987
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1292
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2325
86.1 IPS |
|
|
Text Classification (SP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.6 IPS |
|
|
Text Classification (Q)
|
97% |
291
390.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (Q)
|
65% |
1799
36.1 IPS |
