LENOVO 82Y9
Geekbench AI Score
4332
Single Precision Score
4351
Half Precision Score
11997
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | May 21 2025 10:10 PM |
| Views | 3 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2566
477.2 IPS |
|
|
Image Classification (HP)
|
100% |
2495
463.9 IPS |
|
|
Image Classification (Q)
|
100% |
7059
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6808
110.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5747
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5877
6.86 IPS |
|
|
Pose Estimation (Q)
|
98% |
23153
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (Q)
|
88% |
6511
521.9 IPS |
|
|
Face Detection (SP)
|
100% |
6221
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
6458
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
19325
229.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7554
58.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
7456
57.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
19315
153.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16814
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16504
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
67143
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3663
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13080
484.4 IPS |
|
|
Text Classification (SP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
5290
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (Q)
|
85% |
4918
86.0 IPS |
