LENOVO 82Y9
Geekbench AI Score
5760
Single Precision Score
5674
Half Precision Score
16203
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dtucny |
| Upload Date | June 10 2025 12:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82Y9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3550
660.3 IPS |
|
|
Image Classification (HP)
|
100% |
3556
661.3 IPS |
|
|
Image Classification (Q)
|
100% |
10870
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4170
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4121
66.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11323
183.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7318
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6951
8.11 IPS |
|
|
Pose Estimation (Q)
|
98% |
29878
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
3254
258.1 IPS |
|
|
Object Detection (HP)
|
100% |
3035
240.8 IPS |
|
|
Object Detection (Q)
|
88% |
10215
818.8 IPS |
|
|
Face Detection (SP)
|
100% |
7342
87.2 IPS |
|
|
Face Detection (HP)
|
100% |
7221
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
25462
302.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9354
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9277
71.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
27309
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19986
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20196
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
78314
101.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4318
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4408
162.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15105
559.4 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (Q)
|
92% |
5710
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5217
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5079
87.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7070
121.8 IPS |
