LENOVO 82Y9
Geekbench AI Score
14852
Single Precision Score
26349
Half Precision Score
11742
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 07:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
6554
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
11114
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
6025
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11127
180.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15467
250.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10260
166.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
64522
75.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
206104
240.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59127
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
7685
609.6 IPS |
|
|
Object Detection (HP)
|
100% |
14474
1.15 KIPS |
|
|
Object Detection (Q)
|
84% |
6506
524.7 IPS |
|
|
Face Detection (SP)
|
100% |
16810
199.7 IPS |
|
|
Face Detection (HP)
|
100% |
31883
378.8 IPS |
|
|
Face Detection (Q)
|
97% |
14516
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33760
260.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74717
575.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
28212
225.7 IPS |
|
|
Style Transfer (SP)
|
100% |
116081
149.2 IPS |
|
|
Style Transfer (HP)
|
100% |
309635
398.0 IPS |
|
|
Style Transfer (Q)
|
98% |
104817
135.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24940
920.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40313
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17827
660.1 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1787
33.5 IPS |
