LENOVO 82Y9
Geekbench AI Score
1638
Single Precision Score
753
Half Precision Score
3594
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 07:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 82Y9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1179
219.2 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.5 IPS |
|
|
Image Classification (Q)
|
99% |
3194
595.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
3691
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2024
2.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
9496
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1159
91.9 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
86% |
3193
256.6 IPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (Q)
|
97% |
4805
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3107
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
3602
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5740
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5292
6.80 IPS |
|
|
Style Transfer (Q)
|
98% |
14420
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2695
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
364
485.7 IPS |
|
|
Text Classification (Q)
|
97% |
832
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
65% |
1798
36.1 IPS |
